GPS_interference_analysis.ipynb

{
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   "cell_type": "markdown",
   "id": "66ac79ec-5ff8-4ca8-837a-b6ce179adc6b",
   "metadata": {},
   "source": [
    "# Analysis of US Coastguard GPS disruption data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9de03d06-2850-421b-ad52-b195b0de00f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e777ffac-a206-44b9-84f3-cb111c8747e7",
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   "outputs": [],
   "source": [
    "GPS_disruption_data=pd.read_csv('gps_disruptions_per_country.csv',parse_dates=['local_date'])\n",
    "sovereign_states=pd.read_csv('sovereign_states.csv')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af390dd8-d2e4-4fdb-8d68-5bcd2c94d227",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa2c156f-c8d5-4ef9-b553-aa483c786fff",
   "metadata": {},
   "source": [
    "Global Navigation Satellite Systems (GNSS), of which the United States Global Positioning System (GPS) is the most established, are key to a number of applications. As they depend on weak signals coming to terrestrial receivers from satellites in Medium Earth Orbit (MEO), they are also highly vulnerable to interference. GPS disruptions due to a number of reasons, including interference, are reported by users to the United States Coastguard Navigation centre, which publishes the reports on their website. The Blacket review by the United Kingdom's [Government Office for Science (2018)](#Government-Office-for-Science-(2018)) lists different GPS dependencies and vulnerabilities from a UK perspective.  \n",
    "\n",
    "GPS was originally designed for military use, and despite its numerous civilian applications it is also used for a number of modern military systems, particularly for Unmanned Aerial Vehicles (UAV). Therefore, Electronic warfare (EW) techniques such as jamming and spoofing of GPS signals are often employed in conflict zones as a counter measure against UAVs and other GPS equiped systems. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d629b8e6-b1cd-41ea-81c5-b49062cb97b1",
   "metadata": {},
   "source": [
    "### Details on jammer location\n",
    "[Murrian et al (2021)](#Murrian-MJ,-Narula-L,-Iannucci-PA,-et-al.-(2021)) use data from the FOTON GNSS receiver on board the International Space Station, to detect and geolocate strong GNSS jammers globally between 50N and 50S. They find a weak jamming signal from Syria at the end of 2017, which becomes stronger into 2018. By the second half of 2019 another strong jamming signal appears from Libya. The strengthening of jamming in Syria must be part of EW countermeasures following a combined UAV attack against the russian naval base at Tartus and the air base at Hmeimim in January 2018,see story by [Eshel T. (2018)](#Eshel-T.-(2018)). Commentary from Russia after the report did focus on the accuracy of the GPS coordinates programmed as targets for the UAV's, as quoted in [Trevithick(2018)](#Trevithick,-J.-(2018)) Similarly, the jamming in Libya could be part of countermeasures to UAV attacks in the civil war there, as reported in [Anadolu Agency (2019) news item](#Anadolu-Agency-(31-October-2019)) . Both of those jamming signals are observed for GNSS bands L1 and L2. Additional interference is originating from mainland China on band L2 only, and was present since March 2017.\n",
    "\n",
    "[Perez Marcos et al (2018)](#Pérez-Marcos,-E.,Konovaltsev,-A.,-Caizzone,-S.,-Cuntz,-M.,-Yinusa,-K.,-Elmarissi,-W.-and-Meurer,-M.-(2018)) use data from a GNSS receiver on board a cargo vessel crossing the Mediterranean, the Red Sea, Persian Gulf and Indian Ocean and on to the far East and back. They detect interference in a number of places along the route, the affected location of relevance here is the Suez canal. This was detected in September 2017, and the antenna array analysis shows the signal to be arriving from the west or southwest as the vessel is exiting the canal, suggesting a jammer located in the Sinai peninsula."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "563dd899-02d4-43a5-9084-a22cd6171a88",
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   "source": [
    "### Areas where GPS receivers suffer from jamming\n",
    "Another analysis focused on the effect on commercial shipping from the [NATO Shipping Centre (2022)](#NATO-Shipping-Centre-(2022)) shows the affected area in the Central Mediterranean as an ellipse overlayed on a maritime routes map (probably AIS) centred on Malta and reaching the southern tip of Sicily, with GPS issues there said to be dating since the summer of 2019. The main maritime routes from western to eastern meditteranean go between Malta and Sicily and therefore through this ellipse.  In the Eastern Mediterranean, one ellipse is centred on Limassol Cyprus, covering routes out of Limassol but also routes from the west, past Cyprus to Beirut Lebanon. Another centred on Port Said Egypt, covering traffic in and out of the Suez canal. One off shore from Lebanon covering traffic to and from Beirut and finally offshore from Mersin and Iskenderun, Turkey covering the intersection of the route from Mersin to the south, with the route from Iskenderun west.\n",
    "\n",
    "The effect on civilian aviation in the Mediterranean sea and beyond is shown in [maps produced by the Airbus Skywise system for the second half of 2020](#Eurocontrol-Aviation-Intelligence-Unit,-Think-Paper-#9-(2021)), and for the whole of 2021 and included in Eurocontrol reports. The Airbus Skywise maps also show interference near the Russia Ukraine border, and elsewhere in Russia. [Gerhard Berz (2022)](#Berz-G.-EUROCONTROL-(2022)) of Eurocontrol mentions that the 2021 map matches pilot reports and that the interference locations have been stable since 2018. He also provides a different jamming scenario, from a private yacht in the Netherlands equipped with an anti paparazzi drone jammer detected by analysing ADS-B data. \n",
    "\n",
    "Theoretically the range of the jammer should be much greater for airborne GNSS receivers compared to GNSS receivers on land or on ships. An analysis of the expected effect of a military jamming exercise at West Freugh published by [Ofcom (2022)](#Ofcom-(2022)) lists a range of up to 7 km, but directional, for GNSS receivers at 2m AMSL, which becomes  up to 50 km in all directions for reveivers at 5,000ft AMSL and up to 90 km at 10,000ft AMSL and above. Such [approved GPS Testing(2022)](#Navigation-Center,-United-States-Coast-Guard-(2022)) by the US military is also published in advance, and it could be one of the sources of interference in US territory along with the use of illegal jammers by civilians. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64d297fa-727e-450d-b5be-1529925a5bfe",
   "metadata": {},
   "source": [
    "## Methods"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11824588-3578-4e35-8f54-2ee8672354d9",
   "metadata": {},
   "source": [
    "Data from the U.S. Coastguard Navigation Centre list of disruptions was webscraped, and the location identified by using third party lists of placenames as documented in the README file of this github repository, using Python code within the [GPS_data_processing.ipynb](./GPS_data_processing.ipynb) jupyter notebook of this repository.\n",
    "\n",
    "Using [Murrian et al (2021)](#Murrian-MJ,-Narula-L,-Iannucci-PA,-et-al.-(2021)) and the [NATO Shipping Centre (2022)](#NATO-Shipping-Centre-(2022)) we can safely group together Libya, Malta and southern Italy as all within range of interference from Libya. While the NATO report is not so unequivocal about Cyprus, Lebanon and South East Turkey all being within range of Syria based jammers, we could also make this assumption. Note we explicitly don't include Istanbul, but include Iskenderun for Turkey. However, [Spire (2023)] results suggest that Syria, Lebanon (\"north of Israel\") and Turkey should be treated as separate jammer locations. Cyprus could be affected by any combination of the 3, the ports on the south eastern coast are probably more within range of Syria and Lebanon.\n",
    "\n",
    "\n",
    "[Perez Marcos et al (2018)](#Pérez-Marcos,-E.,Konovaltsev,-A.,-Caizzone,-S.,-Cuntz,-M.,-Yinusa,-K.,-Elmarissi,-W.-and-Meurer,-M.-(2018)) detect interference in Egypt in September 2017, well before the strengthening of interference from Syria in 2018. This combined with the greater distance from Syria will be the basis of treating reports from Egypt separately to the rest of the Eastern Mediterranean reports."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "891299eb-554b-4c51-a70b-5b4a9c945f49",
   "metadata": {},
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   "source": [
    "jammmer_effect=pd.concat([\n",
    "    pd.DataFrame({'Source':'Syria','destination':'CY'},index=[0]), \n",
    "    pd.DataFrame({'Source':'Syria','destination':'CY LMS'},index=[1]), \n",
    "    pd.DataFrame({'Source':'Syria','destination':'TR'},index=[2]),\\\n",
    "    pd.DataFrame({'Source':'Syria','destination':'TR ISK'},index=[3]),\\\n",
    "    pd.DataFrame({'Source':'Syria','destination':'LB'},index=[4]),\n",
    "    pd.DataFrame({'Source':'Libya','destination':'MT'},index=[5]),\\\n",
    "    pd.DataFrame({'Source':'Libya','destination':'IT'},index=[6]),\\\n",
    "    pd.DataFrame({'Source':'Libya','destination':'IT PNL'},index=[6]),\\\n",
    "    pd.DataFrame({'Source':'Libya','destination':'LY'},index=[7]),\\\n",
    "    pd.DataFrame({'Source':'Suez','destination':'EG'},index=[8])#,\\\n",
    "#    pd.DataFrame({'Source':'US','destination':'US'},index=[9])\\\n",
    "])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ee9c3616-ad53-43e1-bea1-f52f76a470c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Source</th>\n",
       "      <th>destination</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Syria</td>\n",
       "      <td>CY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Syria</td>\n",
       "      <td>CY LMS</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Syria</td>\n",
       "      <td>TR</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Syria</td>\n",
       "      <td>TR ISK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Syria</td>\n",
       "      <td>LB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Libya</td>\n",
       "      <td>MT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Libya</td>\n",
       "      <td>IT</td>\n",
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       "      <th>6</th>\n",
       "      <td>Libya</td>\n",
       "      <td>IT PNL</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Libya</td>\n",
       "      <td>LY</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Suez</td>\n",
       "      <td>EG</td>\n",
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      "text/plain": [
       "  Source destination\n",
       "0  Syria          CY\n",
       "1  Syria      CY LMS\n",
       "2  Syria          TR\n",
       "3  Syria      TR ISK\n",
       "4  Syria          LB\n",
       "5  Libya          MT\n",
       "6  Libya          IT\n",
       "6  Libya      IT PNL\n",
       "7  Libya          LY\n",
       "8   Suez          EG"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jammmer_effect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1f28cacb-7ca2-45d4-9081-d2ae5f3a1fda",
   "metadata": {},
   "outputs": [],
   "source": [
    "GPS_interference=pd.merge(GPS_disruption_data[GPS_disruption_data['Cause'].str.contains('Interference')],sovereign_states,left_on='coalesced_country', right_on='Code')\n",
    "GPS_interference_assigned=pd.merge(GPS_interference,jammmer_effect,left_on='coalesce', right_on='destination')\n",
    "#GPS_interference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73a40e56-c736-44c4-9ba4-47c0b0c387cb",
   "metadata": {},
   "source": [
    "## Results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c89d5293-c0f9-4d48-aa09-08db30feb6dc",
   "metadata": {},
   "source": [
    "### Check causes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2e24ae4d-67d8-4bf5-8d45-56e2566eb291",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Disruption cause'}, ylabel='Cause'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_disruption_data.groupby('Cause').count()['Disruption Date/Time'].sort_values()\\\n",
    ".plot(kind='barh',title='Disruption cause')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "59f0f05f-e29e-457c-8970-239a946ea3eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Disruption Date/Time</th>\n",
       "      <th>Location</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Cause</th>\n",
       "      <th>Closed Date</th>\n",
       "      <th>User</th>\n",
       "      <th>NAVCEN</th>\n",
       "      <th>local_date</th>\n",
       "      <th>location_country_state_or_detail</th>\n",
       "      <th>location_country_state_or_locode</th>\n",
       "      <th>user_country_state_or_detail</th>\n",
       "      <th>user_country_state_or_locode</th>\n",
       "      <th>coalesce</th>\n",
       "      <th>coalesced_country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>05/05/2022 5:38:07 CST</td>\n",
       "      <td>Sandia Crest ALBUQUERQUE</td>\n",
       "      <td>Communications</td>\n",
       "      <td>USER: issue is intermittent affecting the foll...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/25/2022</td>\n",
       "      <td>USER: issue is intermittent affecting the foll...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>US ABQ</td>\n",
       "      <td>RW 02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US ABQ</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>09/06/2018 1359 CST</td>\n",
       "      <td>Gulf of Mexico</td>\n",
       "      <td>Marine</td>\n",
       "      <td>User: Multiple vessels in our area experienced...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/07/2019</td>\n",
       "      <td>User: Multiple vessels in our area experienced...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "      <td>2018-09-06</td>\n",
       "      <td>MX</td>\n",
       "      <td>MX MEX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MX</td>\n",
       "      <td>MX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>05/10/2018 0008 GMT</td>\n",
       "      <td>Fairbanks, Alaska</td>\n",
       "      <td>Other</td>\n",
       "      <td>User: Since 10 May, several balloon flights ha...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/08/2019</td>\n",
       "      <td>User: Since 10 May, several balloon flights ha...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "      <td>2018-05-10</td>\n",
       "      <td>US FAI</td>\n",
       "      <td>US AK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US FAI</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>10/18/2017 0041 UTC</td>\n",
       "      <td>Addison, TX</td>\n",
       "      <td>Aviation</td>\n",
       "      <td>User: Several pilots have reported a problem w...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: Several pilots have reported a problem w...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "      <td>2017-10-18</td>\n",
       "      <td>US TX</td>\n",
       "      <td>US TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US TX</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>08/08/2017 0600 PST</td>\n",
       "      <td>San Clemente Island, CA</td>\n",
       "      <td>Marine</td>\n",
       "      <td>User: For the last two weeks in our area of op...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: For the last two weeks in our area of op...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "      <td>2017-08-08</td>\n",
       "      <td>US CA</td>\n",
       "      <td>US CA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US CA</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>04/02/2017 1007 PST</td>\n",
       "      <td>Channel Islands, CA</td>\n",
       "      <td>Marine</td>\n",
       "      <td>User: Several systems, across all of our asset...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: Several systems, across all of our asset...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "      <td>2017-04-02</td>\n",
       "      <td>US CA</td>\n",
       "      <td>US CA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US CA</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>02/06/2017 0000 CET</td>\n",
       "      <td>Oberpfaffenhofen, Germany</td>\n",
       "      <td>NaN</td>\n",
       "      <td>User: The reason I am contacting you relates t...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: The reason I am contacting you relates t...</td>\n",
       "      <td>: The GPS Operation Center (GPSOC) stated thes...</td>\n",
       "      <td>2017-02-06</td>\n",
       "      <td>DE OBP</td>\n",
       "      <td>DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE OBP</td>\n",
       "      <td>DE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>01/26/2017 18:00 GMT</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Timing</td>\n",
       "      <td>User: This has been happening over the last 4 ...</td>\n",
       "      <td>GPS Testing</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: This has been happening over the last 4 ...</td>\n",
       "      <td>: 5 January 2017 the Civil GPS Service Interfa...</td>\n",
       "      <td>2017-01-26</td>\n",
       "      <td>UK</td>\n",
       "      <td>UK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UK</td>\n",
       "      <td>UK</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Disruption Date/Time                   Location            Type  \\\n",
       "32   05/05/2022 5:38:07 CST   Sandia Crest ALBUQUERQUE  Communications   \n",
       "310     09/06/2018 1359 CST             Gulf of Mexico          Marine   \n",
       "332     05/10/2018 0008 GMT          Fairbanks, Alaska           Other   \n",
       "364     10/18/2017 0041 UTC                Addison, TX        Aviation   \n",
       "379     08/08/2017 0600 PST    San Clemente Island, CA          Marine   \n",
       "401     04/02/2017 1007 PST        Channel Islands, CA          Marine   \n",
       "410     02/06/2017 0000 CET  Oberpfaffenhofen, Germany             NaN   \n",
       "411    01/26/2017 18:00 GMT             United Kingdom          Timing   \n",
       "\n",
       "                                           Description        Cause  \\\n",
       "32   USER: issue is intermittent affecting the foll...  GPS Testing   \n",
       "310  User: Multiple vessels in our area experienced...  GPS Testing   \n",
       "332  User: Since 10 May, several balloon flights ha...  GPS Testing   \n",
       "364  User: Several pilots have reported a problem w...  GPS Testing   \n",
       "379  User: For the last two weeks in our area of op...  GPS Testing   \n",
       "401  User: Several systems, across all of our asset...  GPS Testing   \n",
       "410  User: The reason I am contacting you relates t...  GPS Testing   \n",
       "411  User: This has been happening over the last 4 ...  GPS Testing   \n",
       "\n",
       "    Closed Date                                               User  \\\n",
       "32   05/25/2022  USER: issue is intermittent affecting the foll...   \n",
       "310  05/07/2019  User: Multiple vessels in our area experienced...   \n",
       "332  05/08/2019  User: Since 10 May, several balloon flights ha...   \n",
       "364  05/20/2019  User: Several pilots have reported a problem w...   \n",
       "379  05/20/2019  User: For the last two weeks in our area of op...   \n",
       "401  05/20/2019  User: Several systems, across all of our asset...   \n",
       "410  05/20/2019  User: The reason I am contacting you relates t...   \n",
       "411  05/20/2019  User: This has been happening over the last 4 ...   \n",
       "\n",
       "                                                NAVCEN local_date  \\\n",
       "32   : The GPS Operations Center reviewed the GPS C... 2022-05-05   \n",
       "310  : The GPS Operations Center reviewed the GPS C... 2018-09-06   \n",
       "332  : The GPS Operations Center reviewed the GPS C... 2018-05-10   \n",
       "364  : The GPS Operations Center reviewed the GPS C... 2017-10-18   \n",
       "379  : The GPS Operations Center reviewed the GPS C... 2017-08-08   \n",
       "401  : The GPS Operations Center reviewed the GPS C... 2017-04-02   \n",
       "410  : The GPS Operation Center (GPSOC) stated thes... 2017-02-06   \n",
       "411  : 5 January 2017 the Civil GPS Service Interfa... 2017-01-26   \n",
       "\n",
       "    location_country_state_or_detail location_country_state_or_locode  \\\n",
       "32                            US ABQ                            RW 02   \n",
       "310                               MX                           MX MEX   \n",
       "332                           US FAI                            US AK   \n",
       "364                            US TX                            US TX   \n",
       "379                            US CA                            US CA   \n",
       "401                            US CA                            US CA   \n",
       "410                           DE OBP                               DE   \n",
       "411                               UK                               UK   \n",
       "\n",
       "    user_country_state_or_detail user_country_state_or_locode coalesce  \\\n",
       "32                           NaN                          NaN   US ABQ   \n",
       "310                          NaN                          NaN       MX   \n",
       "332                          NaN                          NaN   US FAI   \n",
       "364                          NaN                          NaN    US TX   \n",
       "379                          NaN                          NaN    US CA   \n",
       "401                          NaN                          NaN    US CA   \n",
       "410                          NaN                          NaN   DE OBP   \n",
       "411                          NaN                          NaN       UK   \n",
       "\n",
       "    coalesced_country  \n",
       "32                 US  \n",
       "310                MX  \n",
       "332                US  \n",
       "364                US  \n",
       "379                US  \n",
       "401                US  \n",
       "410                DE  \n",
       "411                UK  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GPS_disruption_data[GPS_disruption_data['Cause']=='GPS Testing']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "be111d6d-d085-4f4e-9ddb-8293619f4b8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Types of interference'}, ylabel='Type'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RQ/7+/lq4cKFt3cKFCxUQEKDq1avb1i1fvlxPPvmkvL29VaRIET333HM6fPiwbXt8fLwsFovmzZun+vXrq2DBgpo1a1aay9/vvvuuHn/8cc2YMUOBgYHy8vLSyy+/rIsXL9rapKamKioqSqVLl5aLi4uqVaumb7/9NnsHAgAA5BmEyodU9+7dNXXqVNvylClT1K1bN7s2ly9f1uDBg7VlyxbFxsbKwcFBbdq0UWpqql27oUOHasCAAYqLi1NYWNhdj3f48GF9//33WrJkiZYsWaI1a9Zo9OjRtu1RUVGaPn26vvjiC+3du1eDBg1Sp06dtGbNmnTP4dq1a0pOTrb7AACA/Ilv1HlIderUSZGRkTp27Jgkad26dZo7d65Wr15ta9O2bVu7faZMmSIfHx/t27dPVapUsa0fOHCgXnjhhXseLzU1VdHR0fLw8JAkde7cWbGxsXrvvfd07do1vf/++1q5cqXq1KkjSSpTpox+++03ffnll6pfv/5d+4yKitKIESMyfe4AACDvIVQ+pHx8fNSiRQtFR0fLMAy1aNFCRYsWtWtz8OBBvfPOO9q4caPOnDljm6FMSEiwC5WhoaH3PV5gYKAtUEpS8eLFlZiYKEk6dOiQrly5oiZNmtjtc/36dbvL8XeKjIzU4MGDbcvJycny9/e/by0AACDvIVQ+xLp3765+/fpJkj777LM021u2bKlSpUrp66+/VokSJZSamqoqVaro+vXrdu3c3Nzue6wCBQrYLVssFltIvXTpkiRp6dKlKlmypF07q9Wabp9Wq/We2wEAQP5BqHyINWvWTNevX5fFYklzL+TZs2e1f/9+ff3113rqqackSb/99lu21FGpUiVZrVYlJCSke6kbAAA82giVDzFHR0fFxcXZ/ny7QoUKqUiRIvrqq69UvHhxJSQkaOjQodlSh4eHh4YMGaJBgwYpNTVVTz75pJKSkrRu3Tp5enqqa9eu2XJcAACQdxAqH3Kenp53Xe/g4KC5c+eqf//+qlKliipUqKDx48erQYMG2VLHqFGj5OPjo6ioKB05ckTe3t6qUaOG3n777Ww5HgAAyFsshmEYuV0EHg3Jycny8vKS/8D5crC65nY5AADkG/GjW2Rb37d+fyclJaU72SXxnkoAAABkAUIlAAAATCNUAgAAwDQe1EGO2zMi7J73ZAAAgLyHmUoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaU65XQAePVWGx8jB6prbZWRI/OgWuV0CAAB5AjOVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTCJWPmOjoaHl7e+d2GQAAIJ8hVOZRx48fV/fu3VWiRAk5OzurVKlSGjBggM6ePWtrExgYqHHjxuVekQAA4JFBqMyDjhw5otDQUB08eFBz5szRoUOH9MUXXyg2NlZ16tTRuXPncrymGzdu5PgxAQDAw4NQmQf17dtXzs7O+vnnn1W/fn0FBATo2Wef1cqVK3XixAn961//UoMGDXTs2DENGjRIFotFFovFro+YmBgFBwfL3d1dzZo108mTJ+22f/PNNwoODlbBggVVsWJFff7557Zt8fHxslgsmjdvnurXr6+CBQtq1qxZOXLuAADg4cTLz/OYc+fOKSYmRu+9955cXFzstvn5+Sk8PFzz5s3TwYMH9fjjj6tXr17q2bOnXbsrV65o7NixmjFjhhwcHNSpUycNGTLEFgxnzZqld955RxMnTlT16tW1fft29ezZU25uburatautn6FDh+qjjz5S9erVVbBgwTS1Xrt2TdeuXbMtJycnZ+VQAACAhwihMo85ePCgDMNQcHDwXbcHBwfr/PnzSklJkaOjozw8POTn52fX5saNG/riiy9UtmxZSVK/fv00cuRI2/bhw4fro48+0gsvvCBJKl26tPbt26cvv/zSLlQOHDjQ1uZuoqKiNGLEiAc+VwAAkHdw+TuPMgzjgfd1dXW1BUpJKl68uBITEyVJly9f1uHDh9WjRw+5u7vbPv/5z390+PBhu35CQ0PveZzIyEglJSXZPsePH3/gmgEAwMONmco8ply5crJYLIqLi1ObNm3SbI+Li1OhQoXk4+OTbh8FChSwW7ZYLLaQeunSJUnS119/rdq1a9u1c3R0tFt2c3O7Z61Wq1VWq/WebQAAQP7ATGUeU6RIETVp0kSff/65/vrrL7ttp06d0qxZs9S+fXtZLBY5OzsrJSUlU/37+vqqRIkSOnLkiMqVK2f3KV26dFaeCgAAyEcIlXnQxIkTde3aNYWFhWnt2rU6fvy4li9friZNmqhkyZJ67733JP39nsq1a9fqxIkTOnPmTIb7HzFihKKiojR+/HgdOHBAu3fv1tSpU/Xxxx9n1ykBAIA8jlCZBwUFBWnLli0qU6aM2rVrp7Jly6pXr15q2LCh1q9fr8KFC0uSRo4cqfj4eJUtW/ael8Pv9Morr+ibb77R1KlTFRISovr16ys6OpqZSgAAkC6LYeaJDyATkpOT5eXlJf+B8+Vgdc3tcjIkfnSL3C4BAIBcdev3d1JSkjw9PdNtx0wlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0Xn6OHLdnRNg9b/QFAAB5DzOVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTCJUAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTCJUAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTCJUAAAAwjVAJAAAA0wiVAAAAMM0ptwvAo6fK8Bg5WF2zpe/40S2ypV8AAHBvzFQCAADANEIlAAAATCNUAgAAwDRCJQAAAEwjVOYhDRo00MCBAx+afgAAAG7h6e9csH79ej355JNq1qyZli5dmuH9Fi5cqAIFCmS4/erVq9WwYUOdP39e3t7eD9wPAADA/TBTmQsmT56s1157TWvXrtWff/6Z4f0KFy4sDw8P08fPqn4AAABuIVTmsEuXLmnevHnq3bu3WrRooejoaElSx44d1b59e7u2N27cUNGiRTV9+nRJaS9bz5gxQ6GhofLw8JCfn586duyoxMRESVJ8fLwaNmwoSSpUqJAsFosiIiLu2s/58+fVpUsXFSpUSK6urnr22Wd18OBB2/bo6Gh5e3srJiZGwcHBcnd3V7NmzXTy5MksHh0AAJBXESpz2Pz581WxYkVVqFBBnTp10pQpU2QYhsLDw/Xjjz/q0qVLtrYxMTG6cuWK2rRpc9e+bty4oVGjRmnnzp36/vvvFR8fbwuO/v7++u677yRJ+/fv18mTJ/Xpp5/etZ+IiAht2bJFixcv1vr162UYhpo3b64bN27Y2ly5ckVjx47VjBkztHbtWiUkJGjIkCH3PNdr164pOTnZ7gMAAPIn7qnMYZMnT1anTp0kSc2aNVNSUpLWrFmjsLAwubm5adGiRercubMkafbs2Xr++efTvVTdvXt325/LlCmj8ePHq1atWrp06ZLc3d1VuHBhSVKxYsXs7qm83cGDB7V48WKtW7dOdevWlSTNmjVL/v7++v777/XSSy9J+jvAfvHFFypbtqwkqV+/fho5cuQ9zzUqKkojRozI4MgAAIC8jJnKHLR//35t2rRJHTp0kCQ5OTmpffv2mjx5spycnNSuXTvNmjVLknT58mX98MMPCg8PT7e/rVu3qmXLlgoICJCHh4fq168vSUpISMhwTXFxcXJyclLt2rVt64oUKaIKFSooLi7Ots7V1dUWKCWpePHitkvt6YmMjFRSUpLtc/z48QzXBQAA8hZmKnPQ5MmTdfPmTZUoUcK2zjAMWa1WTZw4UeHh4apfv74SExO1YsUKubi4qFmzZnft6/LlywoLC1NYWJhmzZolHx8fJSQkKCwsTNevX8/y2u98WtxiscgwjHvuY7VaZbVas7wWAADw8CFU5pCbN29q+vTp+uijj9S0aVO7ba1bt9acOXP06quvyt/fX/PmzdOyZcv00ksvpfvqn99//11nz57V6NGj5e/vL0nasmWLXRtnZ2dJUkpKSrp1BQcH6+bNm9q4caPt8vfZs2e1f/9+VapU6YHPFwAAPFq4/J1DlixZovPnz6tHjx6qUqWK3adt27aaPHmypL+fAv/iiy+0YsWKe176DggIkLOzsyZMmKAjR45o8eLFGjVqlF2bUqVKyWKxaMmSJfrf//5n9xDQLUFBQWrVqpV69uyp3377TTt37lSnTp1UsmRJtWrVKmsHAQAA5FuEyhwyefJkNW7cWF5eXmm2tW3bVlu2bNGuXbsUHh6uffv2qWTJkqpXr166/fn4+Cg6OloLFixQpUqVNHr0aI0dO9auTcmSJTVixAgNHTpUvr6+6tev3137mjp1qmrWrKnnnntOderUkWEY+umnn3hBOgAAyDCLcb8b44AskpycLC8vL/kPnC8Hq2u2HCN+dIts6RcAgEfVrd/fSUlJ8vT0TLcdM5UAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANN4TyVy3J4RYfe80RcAAOQ9zFQCAADANEIlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMI1QCAADANEIlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMI1QCAADANEIlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMI1QCAADANKfcLgCPnirDY+RgdX3g/eNHt8jCagAAQFZgphIAAACmESoBAABgGqESAAAAphEqAQAAYBqhEgAAAKYRKvOYiIgItW7d2lQfq1evlsVi0YULF7KkJgAAAF4p9BCxWCz33D58+HB9+umnMgzD1HHq1q2rkydPysvLy1Q/AAAAtxAqHyInT560/XnevHl65513tH//fts6d3d3ubu7mz6Os7Oz/Pz8TPcDAABwC5e/HyJ+fn62j5eXlywWi906d3f3NJe/GzRooNdee00DBw5UoUKF5Ovrq6+//lqXL19Wt27d5OHhoXLlymnZsmW2fe68/B0dHS1vb2/FxMQoODhY7u7uatasmV3IvXnzpvr37y9vb28VKVJEb731lrp27XrPS/HXrl1TcnKy3QcAAORPhMp8YNq0aSpatKg2bdqk1157Tb1799ZLL72kunXratu2bWratKk6d+6sK1eupNvHlStXNHbsWM2YMUNr165VQkKChgwZYts+ZswYzZo1S1OnTtW6deuUnJys77///p51RUVFycvLy/bx9/fPqlMGAAAPGUJlPlCtWjX9+9//VlBQkCIjI1WwYEEVLVpUPXv2VFBQkN555x2dPXtWu3btSrePGzdu6IsvvlBoaKhq1Kihfv36KTY21rZ9woQJioyMVJs2bVSxYkVNnDhR3t7e96wrMjJSSUlJts/x48ez6pQBAMBDhnsq84GqVava/uzo6KgiRYooJCTEts7X11eSlJiYmG4frq6uKlu2rG25ePHitvZJSUk6ffq0nnjiCbvj1KxZU6mpqen2abVaZbVaM39CAAAgz2GmMh8oUKCA3bLFYrFbd+up8nsFwLv1YfYpcwAA8OggVOK+vLy85Ovrq82bN9vWpaSkaNu2bblYFQAAeJhw+RsZ8tprrykqKkrlypVTxYoVNWHCBJ0/f/6+79YEAACPBkIlMuStt97SqVOn1KVLFzk6OqpXr14KCwuTo6NjbpcGAAAeAhaDG+fwAFJTUxUcHKx27dpp1KhRGdonOTn571cLDZwvB6vrAx87fnSLB94XAABkzq3f30lJSfL09Ey3HTOVyJBjx47p559/Vv369XXt2jVNnDhRR48eVceOHXO7NAAA8BDgQR1kiIODg6Kjo1WrVi3Vq1dPu3fv1sqVKxUcHJzbpQEAgIcAM5XIEH9/f61bty63ywAAAA8pQiVy3J4RYfe8JwMAAOQ9XP4GAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGkPHCoPHTqkmJgY/fXXX5IkwzCyrCgAAADkLZkOlWfPnlXjxo1Vvnx5NW/eXCdPnpQk9ejRQ6+//nqWFwgAAICHX6ZD5aBBg+Tk5KSEhAS5urra1rdv317Lly/P0uIAAACQNzhldoeff/5ZMTExeuyxx+zWBwUF6dixY1lWGAAAAPKOTIfKy5cv281Q3nLu3DlZrdYsKQr5W5XhMXKwpv07lFHxo1tkYTUAACArZPry91NPPaXp06fbli0Wi1JTU/XBBx+oYcOGWVocAAAA8oZMz1R+8MEHatSokbZs2aLr16/rzTff1N69e3Xu3DmtW7cuO2oEAADAQy7TM5VVqlTRgQMH9OSTT6pVq1a6fPmyXnjhBW3fvl1ly5bNjhoBAADwkMv0TKUkeXl56V//+ldW1wIAAIA86oFC5fnz5zV58mTFxcVJkipVqqRu3bqpcOHCWVocAAAA8oZMX/5eu3atAgMDNX78eJ0/f17nz5/X+PHjVbp0aa1duzY7aoRJ7777rh5//PF7tomIiFDr1q1tyw0aNNDAgQOztS4AAJB/ZDpU9u3bV+3bt9fRo0e1cOFCLVy4UEeOHNHLL7+svn37ZkeNuWL9+vVydHRUixaZf31NRkLcw+bTTz9VdHR0bpcBAADyqEyHykOHDun111+Xo6OjbZ2jo6MGDx6sQ4cOZWlxuWny5Ml67bXXtHbtWv3555+5XU628/Lykre3d26XAQAA8qhMh8oaNWrY7qW8XVxcnKpVq5YlReW2S5cuad68eerdu7datGhhN4MXHR2dJnx9//33slgstu0jRozQzp07ZbFYZLFYbPsnJCSoVatWcnd3l6enp9q1a6fTp0/b+rk1wzllyhQFBATI3d1dffr0UUpKij744AP5+fmpWLFieu+99+yOf79+b/nyyy/l7+8vV1dXtWvXTklJSbZtd17+vtO1a9c0ZMgQlSxZUm5ubqpdu7ZWr159z3G8du2akpOT7T4AACB/yvSDOv3799eAAQN06NAh/eMf/5AkbdiwQZ999plGjx6tXbt22dpWrVo16yrNQfPnz1fFihVVoUIFderUSQMHDlRkZKQtON5L+/bttWfPHi1fvlwrV66U9PcsYGpqqi34rVmzRjdv3rTdSnB7ODt8+LCWLVum5cuX6/Dhw3rxxRd15MgRlS9fXmvWrNF///tfde/eXY0bN1bt2rUz3O+hQ4c0f/58/fjjj0pOTlaPHj3Up08fzZo1K0Nj0q9fP+3bt09z585ViRIltGjRIjVr1ky7d+9WUFDQXfeJiorSiBEjMtQ/AADI2zIdKjt06CBJevPNN++6zWKxyDAMWSwWpaSkmK8wF0yePFmdOnWSJDVr1kxJSUlas2aNGjRocN99XVxc5O7uLicnJ/n5+dnWr1ixQrt379bRo0fl7+8vSZo+fboqV66szZs3q1atWpKk1NRUTZkyRR4eHqpUqZIaNmyo/fv366effpKDg4MqVKigMWPGaNWqVapdu7ZiY2Mz1O/Vq1c1ffp0lSxZUpI0YcIEtWjRQh999JFdnXeTkJCgqVOnKiEhQSVKlJAkDRkyRMuXL9fUqVP1/vvv33W/yMhIDR482LacnJxsqxEAAOQvmQ6VR48ezY46Hhr79+/Xpk2btGjRIkmSk5OT2rdvr8mTJ2coVKYnLi5O/v7+dqGqUqVK8vb2VlxcnC38BQYGysPDw9bG19dXjo6OcnBwsFuXmJiYqX4DAgJsgVKS6tSpo9TUVO3fv/++oXL37t1KSUlR+fLl7dZfu3ZNRYoUSXc/q9XK98EDAPCIyHSoLFq0qNzc3LKjlofC5MmTdfPmTduMnCQZhiGr1aqJEyfKwcFBhmHY7XPjxo0sO36BAgXsli0Wy13XpaamZtkx7+fSpUtydHTU1q1b7R7QkiR3d/ccqwMAADy8Mv2gjq+vr7p3767ffvstO+rJVTdv3tT06dP10UcfaceOHbbPzp07VaJECc2ZM0c+Pj66ePGiLl++bNtvx44ddv04OzunufQfHBys48eP6/jx47Z1+/bt04ULF1SpUqUHrjmj/SYkJNg9xb5hwwbb5fT7qV69ulJSUpSYmKhy5crZfe43ywkAAB4NmQ6VM2fO1Llz5/TMM8+ofPnyGj16dL555c6SJUt0/vx59ejRQ1WqVLH7tG3bVpMnT1bt2rXl6uqqt99+W4cPH9bs2bPTvN8xMDBQR48e1Y4dO3TmzBldu3ZNjRs3VkhIiMLDw7Vt2zZt2rRJXbp0Uf369RUaGvrANWe034IFC6pr167auXOnfv31V/Xv31/t2rXLUCgsX768wsPD1aVLFy1cuFBHjx7Vpk2bFBUVpaVLlz5w7QAAIP/IdKhs3bq1vv/+e504cUKvvvqqZs+erVKlSum5557TwoULdfPmzeyoM0dMnjxZjRs3lpeXV5ptbdu21ZYtW/THH39o5syZ+umnnxQSEqI5c+bo3XffTdO2WbNmatiwoXx8fDRnzhxZLBb98MMPKlSokJ5++mk1btxYZcqU0bx580zVnNF+y5UrpxdeeEHNmzdX06ZNVbVqVX3++ecZPs7UqVPVpUsXvf7666pQoYJat26tzZs3KyAgwFT9AAAgf7AYd94g+AAmTJigN954Q9evX1fRokX16quvaujQoXJ1dc2KGpFPJCcny8vLS/4D58vB+uB/N+JHZ/5bjgAAwIO59fs7KSlJnp6e6bbL9IM6t5w+fVrTpk1TdHS0jh07phdffFE9evTQH3/8oTFjxmjDhg36+eefH7R7AAAA5CEZDpUjR460ezdhTEyMKlWqpD59+qhTp0523zJTt25dBQcHZ0e9AAAAeAhl+J7KESNG6NKlS+rWrZtKlCihdevWaceOHerXr1+ary0sUaKE/vWvf2V1rQAAAHhIZfieSgcHB506dUru7u7cK4kHktF7MgAAwMMjo7+/M/X0t8ViIVACAAAgjUw9qFO+fHlZLJZ7tjl37pypggAAAJD3ZCpUjhgx4q7vcAQAAMCjLVOh8uWXX1axYsWyqxYAAADkURm+p/J+l70BAADw6MpwqMyCL94BAABAPpXhy9+pqanZWQcAAADysEy9UggAAAC4G0IlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMI1QCAADANEIlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMc8rtAvDoqTI8Rg5W1wy3jx/dIhurAQAAWYGZSgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaofEStXr1aFotFFy5cyO1SAABAPpBnQ6XFYrnn5913383tErNcYGCgxo0bl+n9GjRooIEDB9qtq1u3rk6ePCkvL6+sKQ4AADzS8ux7Kk+ePGn787x58/TOO+9o//79tnXu7u62PxuGoZSUFDk55c3TvX79upydnbO0T2dnZ/n5+WVpnwAA4NGVZ2cq/fz8bB8vLy9ZLBbb8u+//y4PDw8tW7ZMNWvWlNVq1W+//abDhw+rVatW8vX1lbu7u2rVqqWVK1fa9RsYGKj3339f3bt3l4eHhwICAvTVV1/Ztl+/fl39+vVT8eLFVbBgQZUqVUpRUVG27RaLRZMmTdKzzz4rFxcXlSlTRt9++63dMXbv3q1nnnlGLi4uKlKkiHr16qVLly7ZtkdERKh169Z67733VKJECVWoUEENGjTQsWPHNGjQINtsrCSdPXtWHTp0UMmSJeXq6qqQkBDNmTPHrq81a9bo008/te0XHx9/18vf3333nSpXriyr1arAwEB99NFHmRobAADw6MqzoTIjhg4dqtGjRysuLk5Vq1bVpUuX1Lx5c8XGxmr79u1q1qyZWrZsqYSEBLv9PvroI4WGhmr79u3q06ePevfubZsFHT9+vBYvXqz58+dr//79mjVrlgIDA+32HzZsmNq2baudO3cqPDxcL7/8suLi4iRJly9fVlhYmAoVKqTNmzdrwYIFWrlypfr162fXR2xsrPbv368VK1ZoyZIlWrhwoR577DGNHDlSJ0+etM3UXr16VTVr1tTSpUu1Z88e9erVS507d9amTZskSZ9++qnq1Kmjnj172vbz9/dPM1Zbt25Vu3bt9PLLL2v37t169913NWzYMEVHR2d4bO507do1JScn230AAED+lDevB2fQyJEj1aRJE9ty4cKFVa1aNdvyqFGjtGjRIi1evNgu1DVv3lx9+vSRJL311lv65JNPtGrVKlWoUEEJCQkKCgrSk08+KYvFolKlSqU57ksvvaRXXnnFdowVK1ZowoQJ+vzzzzV79mxdvXpV06dPl5ubmyRp4sSJatmypcaMGSNfX19Jkpubm7755hu7y96Ojo7y8PCwu2xdsmRJDRkyxLb82muvKSYmRvPnz9cTTzwhLy8vOTs7y9XV9Z6Xuz/++GM1atRIw4YNkySVL19e+/bt04cffqiIiIgMjc2doqKiNGLEiHSPCQAA8o98PVMZGhpqt3zp0iUNGTJEwcHB8vb2lru7u+Li4tLMVFatWtX251uX1RMTEyX9fTl5x44dqlChgvr376+ff/45zXHr1KmTZvnWTGVcXJyqVatmC5SSVK9ePaWmptrN+IWEhGToPsqUlBSNGjVKISEhKly4sNzd3RUTE5PmnO4nLi5O9erVs1tXr149HTx4UCkpKbZ19xqbO0VGRiopKcn2OX78eKZqAgAAeUe+nqm8PbhJ0pAhQ7RixQqNHTtW5cqVk4uLi1588UVdv37drl2BAgXsli0Wi1JTUyVJNWrU0NGjR7Vs2TKtXLlS7dq1U+PGjdPcN5nVtafnww8/1Keffqpx48YpJCREbm5uGjhwYJpzyir3Gps7Wa1WWa3WbKkDAAA8XPL1TOWd1q1bp4iICLVp00YhISHy8/NTfHx8pvvx9PRU+/bt9fXXX2vevHn67rvvdO7cOdv2DRs22LXfsGGDgoODJUnBwcHauXOnLl++bFeXg4PDXS8h387Z2dlu1vDWvq1atVKnTp1UrVo1lSlTRgcOHLjvfncKDg7WunXr0vRdvnx5OTo63nNfAACARypUBgUFaeHChdqxY4d27typjh07pjvLlp6PP/5Yc+bM0e+//64DBw5owYIF8vPzk7e3t63NggULNGXKFB04cEDDhw/Xpk2bbPdshoeHq2DBguratav27NmjVatW6bXXXlPnzp1t91OmJzAwUGvXrtWJEyd05swZ2zmtWLFC//3vfxUXF6d//vOfOn36dJr9Nm7cqPj4eJ05c+au5/z6668rNjZWo0aN0oEDBzRt2jRNnDjR7n5NAACA9DxSofLjjz9WoUKFVLduXbVs2VJhYWGqUaNGpvrw8PDQBx98oNDQUNWqVUvx8fH66aef5ODwf0M5YsQIzZ07V1WrVtX06dM1Z84cVapUSZLk6uqqmJgYnTt3TrVq1dKLL76oRo0aaeLEifc99siRIxUfH6+yZcvKx8dHkvTvf/9bNWrUUFhYmBo0aCA/Pz+1bt3abr8hQ4bI0dFRlSpVko+Pz13vt6xRo4bmz5+vuXPnqkqVKnrnnXc0cuRIu4d0AAAA0mMxDMPI7SLyE4vFokWLFqUJdpCSk5Pl5eUl/4Hz5WB1zfB+8aNbZGNVAADgXm79/k5KSpKnp2e67R6pmUoAAABkD0IlAAAATMvXrxTKDdxNAAAAHkWESuS4PSPC7nlPBgAAyHu4/A0AAADTCJUAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTCJUAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTCJUAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANMIlQAAADCNUAkAAADTnHK7ADx6qgyPkYPVNcPt40e3yMZqAABAVmCmEgAAAKYRKgEAAGAaoRIAAACmESoBAABgGqESAAAAphEqH0HvvvuuHn/88dwuAwAA5COEygf0v//9T71791ZAQICsVqv8/PwUFhamdevW5XZp9zVkyBDFxsbmdhkAACAf4T2VD6ht27a6fv26pk2bpjJlyuj06dOKjY3V2bNnH6g/wzCUkpIiJ6fs/5G4u7vL3d09248DAAAeHcxUPoALFy7o119/1ZgxY9SwYUOVKlVKTzzxhCIjI/X8888rPj5eFotFO3bssNvHYrFo9erVkqTVq1fLYrFo2bJlqlmzpqxWq6ZMmSKLxaLff//d7niffPKJypYta1ves2ePnn32Wbm7u8vX11edO3fWmTNnJEnTp09XkSJFdO3aNbs+Wrdurc6dO0tKe/k7IiJCrVu31tixY1W8eHEVKVJEffv21Y0bN2xtTp48qRYtWsjFxUWlS5fW7NmzFRgYqHHjxmXBiAIAgLyOUPkAbs30ff/992nCW2YNHTpUo0ePVlxcnF588UWFhoZq1qxZdm1mzZqljh07Svo7nD7zzDOqXr26tmzZouXLl+v06dNq166dJOmll15SSkqKFi9ebNs/MTFRS5cuVffu3dOtY9WqVTp8+LBWrVqladOmKTo6WtHR0bbtXbp00Z9//qnVq1fru+++01dffaXExMR7ntu1a9eUnJxs9wEAAPkTofIBODk5KTo6WtOmTZO3t7fq1aunt99+W7t27cp0XyNHjlSTJk1UtmxZFS5cWOHh4ZozZ45t+4EDB7R161aFh4dLkiZOnKjq1avr/fffV8WKFVW9enVNmTJFq1at0oEDB+Ti4qKOHTtq6tSptj5mzpypgIAANWjQIN06ChUqpIkTJ6pixYp67rnn1KJFC9t9l7///rtWrlypr7/+WrVr11aNGjX0zTff6K+//rrnuUVFRcnLy8v28ff3z/T4AACAvIFQ+YDatm2rP//8U4sXL1azZs20evVq1ahRw252LyNCQ0Ptll9++WXFx8drw4YNkv6epaxRo4YqVqwoSdq5c6dWrVplmy11d3e3bTt8+LAkqWfPnvr555914sQJSVJ0dLQiIiJksVjSraNy5cpydHS0LRcvXtw2E7l//345OTmpRo0atu3lypVToUKF7nlukZGRSkpKsn2OHz+eoTEBAAB5Dw/qmFCwYEE1adJETZo00bBhw/TKK69o+PDh+vXXXyX9/fDNLbffn3g7Nzc3u2U/Pz8988wzmj17tv7xj39o9uzZ6t27t237pUuX1LJlS40ZMyZNX8WLF5ckVa9eXdWqVdP06dPVtGlT7d27V0uXLr3nuRQoUMBu2WKxKDU19Z773I/VapXVajXVBwAAyBuYqcxClSpV0uXLl+Xj4yPp74dbbrn9oZ37CQ8P17x587R+/XodOXJEL7/8sm1bjRo1tHfvXgUGBqpcuXJ2n9sD6iuvvKLo6GhNnTpVjRs3NnXpuUKFCrp586a2b99uW3fo0CGdP3/+gfsEAAD5C6HyAZw9e1bPPPOMZs6cqV27duno0aNasGCBPvjgA7Vq1UouLi76xz/+YXsAZ82aNfr3v/+d4f5feOEFXbx4Ub1791bDhg1VokQJ27a+ffvq3Llz6tChgzZv3qzDhw8rJiZG3bp1U0pKiq1dx44d9ccff+jrr7++5wM6GVGxYkU1btxYvXr10qZNm7R9+3b16tVLLi4u97ykDgAAHh2Eygfg7u6u2rVr65NPPtHTTz+tKlWqaNiwYerZs6cmTpwoSZoyZYpu3rypmjVrauDAgfrPf/6T4f49PDzUsmVL7dy50/aAzi0lSpTQunXrlJKSoqZNmyokJEQDBw6Ut7e3HBz+78fp5eWltm3byt3dXa1btzZ9ztOnT5evr6+efvpptWnTRj179pSHh4cKFixoum8AAJD3WYzbb/xDvtKoUSNVrlxZ48ePz/K+//jjD/n7+2vlypVq1KhRhvZJTk7++ynwgfPlYHXN8LHiR7d40DIBAIBJt35/JyUlydPTM912PKiTD50/f16rV6/W6tWr9fnnn2dJn7/88osuXbqkkJAQnTx5Um+++aYCAwP19NNPZ0n/AAAgbyNU5kPVq1fX+fPnNWbMGFWoUCFL+rxx44befvttHTlyRB4eHqpbt65mzZqV5qlxAADwaCJU5kPx8fFZ3mdYWJjCwsKyvF8AAJA/ECqR4/aMCLvnPRkAACDv4elvAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmOaU2wXg0VNleIwcrK4Zbh8/ukU2VgMAALICM5UAAAAwjVAJAAAA0wiVAAAAMI1QCQAAANMIlQAAADCNUJkLLBaLvv/++2w9RnR0tLy9vbP1GAAAALfkeqg8deqUXnvtNZUpU0ZWq1X+/v5q2bKlYmNjc7u0bHPy5Ek9++yzWdZfYGCgxo0bZ7euffv2OnDgQJYdAwAA4F5y9T2V8fHxqlevnry9vfXhhx8qJCREN27cUExMjPr27avff/89N8vLNn5+ftl+DBcXF7m4uGT7cQAAAKRcnqns06ePLBaLNm3apLZt26p8+fKqXLmyBg8erA0bNkiSEhIS1KpVK7m7u8vT01Pt2rXT6dOnbX28++67evzxxzVlyhQFBATI3d1dffr0UUpKij744AP5+fmpWLFieu+99+yObbFY9OWXX+q5556Tq6urgoODtX79eh06dEgNGjSQm5ub6tatq8OHD9v2iYiIUOvWre36GThwoBo0aGBbbtCggfr3768333xThQsXlp+fn9599900x7798vcff/yhDh06qHDhwnJzc1NoaKg2btwoSTp8+LBatWolX19fubu7q1atWlq5cqXd8Y4dO6ZBgwbJYrHIYrFIuvvl70mTJqls2bJydnZWhQoVNGPGjDR1ffPNN2rTpo1cXV0VFBSkxYsX27afP39e4eHh8vHxkYuLi4KCgjR16tS7/GQBAMCjJtdC5blz57R8+XL17dtXbm5uabZ7e3srNTVVrVq10rlz57RmzRqtWLFCR44cUfv27e3aHj58WMuWLdPy5cs1Z84cTZ48WS1atNAff/yhNWvWaMyYMfr3v/9tC2q3jBo1Sl26dNGOHTtUsWJFdezYUf/85z8VGRmpLVu2yDAM9evXL9PnNm3aNLm5uWnjxo364IMPNHLkSK1YseKubS9duqT69evrxIkTWrx4sXbu3Kk333xTqamptu3NmzdXbGystm/frmbNmqlly5ZKSEiQJC1cuFCPPfaYRo4cqZMnT+rkyZN3Pc6iRYs0YMAAvf7669qzZ4/++c9/qlu3blq1apVduxEjRqhdu3batWuXmjdvrvDwcJ07d06SNGzYMO3bt0/Lli1TXFycJk2apKJFi6Y7DteuXVNycrLdBwAA5E+5dvn70KFDMgxDFStWTLdNbGysdu/eraNHj8rf31+SNH36dFWuXFmbN29WrVq1JEmpqamaMmWKPDw8VKlSJTVs2FD79+/XTz/9JAcHB1WoUEFjxozRqlWrVLt2bVv/3bp1U7t27SRJb731lurUqaNhw4YpLCxMkjRgwAB169Yt0+dWtWpVDR8+XJIUFBSkiRMnKjY2Vk2aNEnTdvbs2frf//6nzZs3q3DhwpKkcuXK2bZXq1ZN1apVsy2PGjVKixYt0uLFi9WvXz8VLlxYjo6O8vDwuOdl9bFjxyoiIkJ9+vSRJNts8NixY9WwYUNbu4iICHXo0EGS9P7772v8+PHatGmTmjVrpoSEBFWvXl2hoaGS/r6X816ioqI0YsSIe7YBAAD5Q67NVBqGcd82cXFx8vf3twVKSapUqZK8vb0VFxdnWxcYGCgPDw/bsq+vrypVqiQHBwe7dYmJiXb9V61a1W67JIWEhNitu3r1aqZn2G7vV5KKFy+e5ti37NixQ9WrV7cFyjtdunRJQ4YMUXBwsLy9veXu7q64uDjbTGVGxcXFqV69enbr6tWrZzeOd9bu5uYmT09PW+29e/fW3Llz9fjjj+vNN9/Uf//733seMzIyUklJSbbP8ePHM1UzAADIO3ItVAYFBclisWTJwzgFChSwW7ZYLHddd+uS8t32u3Uv4t3W3drPwcEhTRi+ceNGhuq589i33O9hmiFDhmjRokV6//339euvv2rHjh0KCQnR9evX77nfg7pX7c8++6zt/s0///xTjRo10pAhQ9Lty2q1ytPT0+4DAADyp1wLlYULF1ZYWJg+++wzXb58Oc32CxcuKDg4WMePH7eb4dq3b58uXLigSpUq5WS5kiQfH5809yzu2LHDVJ9Vq1bVjh07bPct3mndunWKiIhQmzZtFBISIj8/P8XHx9u1cXZ2VkpKyj2PExwcrHXr1qXpO7Pj6OPjo65du2rmzJkaN26cvvrqq0ztDwAA8qdcffr7s88+U0pKip544gl99913OnjwoOLi4jR+/HjVqVNHjRs3VkhIiMLDw7Vt2zZt2rRJXbp0Uf369W339eWkZ555Rlu2bNH06dN18OBBDR8+XHv27DHVZ4cOHeTn56fWrVtr3bp1OnLkiL777jutX79e0t8zugsXLtSOHTu0c+dOdezYMc2sZ2BgoNauXasTJ07ozJkzdz3OG2+8oejoaE2aNEkHDx7Uxx9/rIULF95zpvFO77zzjn744QcdOnRIe/fu1ZIlSxQcHPzgJw8AAPKNXA2VZcqU0bZt29SwYUO9/vrrqlKlipo0aaLY2FhNmjRJFotFP/zwgwoVKqSnn35ajRs3VpkyZTRv3rxcqTcsLEzDhg3Tm2++qVq1aunixYvq0qWLqT6dnZ31888/q1ixYmrevLlCQkI0evRoOTo6SpI+/vhjFSpUSHXr1lXLli0VFhamGjVq2PUxcuRIxcfHq2zZsvLx8bnrcVq3bq1PP/1UY8eOVeXKlfXll19q6tSpdq9DykitkZGRqlq1qp5++mk5Ojpq7ty5D3zuAAAg/7AYGXliBsgCycnJ8vLykv/A+XKwumZ4v/jRLbKxKgAAcC+3fn8nJSXd8/mIXP+aRgAAAOR9hEoAAACYRqgEAACAabn2jTp4dO0ZEcY7KwEAyGeYqQQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBpTrldAB49VYbHyMHqmmZ9/OgWuVANAADICsxUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMI1QCAADANEIlMiQwMFDjxo3L7TIAAMBDilCZxSIiImSxWGSxWFSgQAGVLl1ab775pq5evZrbpQEAAGQb3lOZDZo1a6apU6fqxo0b2rp1q7p27SqLxaIxY8bkdml3dePGDRUoUCC3ywAAAHkYM5XZwGq1ys/PT/7+/mrdurUaN26sFStWSJJSU1MVFRWl0qVLy8XFRdWqVdO3335r2/f8+fMKDw+Xj4+PXFxcFBQUpKlTp9q2Hz9+XO3atZO3t7cKFy6sVq1aKT4+3rZ98+bNatKkiYoWLSovLy/Vr19f27Zts6vPYrFo0qRJev755+Xm5qb33ntPkvTjjz+qVq1aKliwoIoWLao2bdrY7XflyhV1795dHh4eCggI0FdffZXVQwcAAPIoQmU227Nnj/773//K2dlZkhQVFaXp06friy++0N69ezVo0CB16tRJa9askSQNGzZM+/bt07JlyxQXF6dJkyapaNGikv6eUQwLC5OHh4d+/fVXrVu3Tu7u7mrWrJmuX78uSbp48aK6du2q3377TRs2bFBQUJCaN2+uixcv2tX17rvvqk2bNtq9e7e6d++upUuXqk2bNmrevLm2b9+u2NhYPfHEE3b7fPTRRwoNDdX27dvVp08f9e7dW/v370/33K9du6bk5GS7DwAAyJ8shmEYuV1EfhIREaGZM2eqYMGCunnzpq5duyYHBwfNnz9fzz33nAoXLqyVK1eqTp06tn1eeeUVXblyRbNnz9bzzz+vokWLasqUKWn6njlzpv7zn/8oLi5OFotFknT9+nV5e3vr+++/V9OmTdPsk5qaKm9vb82ePVvPPfecpL9nKgcOHKhPPvnE1q5u3boqU6aMZs6cedfzCgwM1FNPPaUZM2ZIkgzDkJ+fn0aMGKFXX331rvu8++67GjFiRJr1/gPn8zWNAADkEcnJyfLy8lJSUpI8PT3Tbcc9ldmgYcOGmjRpki5fvqxPPvlETk5Oatu2rfbu3asrV66oSZMmdu2vX7+u6tWrS5J69+6ttm3batu2bWratKlat26tunXrSpJ27typQ4cOycPDw27/q1ev6vDhw5Kk06dP69///rdWr16txMREpaSk6MqVK0pISLDbJzQ01G55x44d6tmz5z3Pq2rVqrY/WywW+fn5KTExMd32kZGRGjx4sG05OTlZ/v7+9zwGAADImwiV2cDNzU3lypWTJE2ZMkXVqlXT5MmTVaVKFUnS0qVLVbJkSbt9rFarJOnZZ5/VsWPH9NNPP2nFihVq1KiR+vbtq7Fjx+rSpUuqWbOmZs2aleaYPj4+kqSuXbvq7Nmz+vTTT1WqVClZrVbVqVPHdnn89hpv5+Lict/zuvNhHovFotTU1HTbW61W23kBAID8jVCZzRwcHPT2229r8ODBOnDggKxWqxISElS/fv109/Hx8VHXrl3VtWtXPfXUU3rjjTc0duxY1ahRQ/PmzVOxYsXSnX5et26dPv/8czVv3lzS3w/2nDlz5r51Vq1aVbGxserWrduDnSgAAHik8aBODnjppZfk6OioL7/8UkOGDNGgQYM0bdo0HT58WNu2bdOECRM0bdo0SdI777yjH374QYcOHdLevXu1ZMkSBQcHS5LCw8NVtGhRtWrVSr/++quOHj2q1atXq3///vrjjz8kSUFBQZoxY4bi4uK0ceNGhYeHZ2gWcvjw4ZozZ46GDx+uuLg47d69+6F9BRIAAHj4ECpzgJOTk/r166cPPvhAkZGRGjZsmKKiohQcHKxmzZpp6dKlKl26tCTJ2dlZkZGRqlq1qp5++mk5Ojpq7ty5kiRXV1etXbtWAQEBeuGFFxQcHKwePXro6tWrtpnLyZMn6/z586pRo4Y6d+6s/v37q1ixYvetsUGDBlqwYIEWL16sxx9/XM8884w2bdqUfYMCAADyFZ7+Ro659fQYT38DAJB3ZPTpb2YqAQAAYBqhEgAAAKYRKgEAAGAarxRCjtszIuye92QAAIC8h5lKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGm8/Bw5xjAMSX9/MT0AAMgbbv3evvV7PD2ESuSYs2fPSpL8/f1zuRIAAJBZFy9elJeXV7rbCZXIMYULF5YkJSQk3PMv5aMgOTlZ/v7+On78OF9ZKcbjdoyFPcbj/zAW9hiP/5PdY2EYhi5evKgSJUrcsx2hEjnGweHvW3i9vLwe+f8AbvH09GQsbsN4/B/Gwh7j8X8YC3uMx//JzrHIyGQQD+oAAADANEIlAAAATCNUIsdYrVYNHz5cVqs1t0vJdYyFPcbj/zAW9hiP/8NY2GM8/s/DMhYW437PhwMAAAD3wUwlAAAATCNUAgAAwDRCJQAAAEwjVAIAAMA0QiUAAABMI1QiR3z22WcKDAxUwYIFVbt2bW3atCm3S8oRUVFRqlWrljw8PFSsWDG1bt1a+/fvt2tz9epV9e3bV0WKFJG7u7vatm2r06dP51LFOWf06NGyWCwaOHCgbd2jNhYnTpxQp06dVKRIEbm4uCgkJERbtmyxbTcMQ++8846KFy8uFxcXNW7cWAcPHszFirNHSkqKhg0bptKlS8vFxUVly5bVqFGjdPvLSfLzWKxdu1YtW7ZUiRIlZLFY9P3339ttz8i5nzt3TuHh4fL09JS3t7d69OihS5cu5eBZZI17jcWNGzf01ltvKSQkRG5ubipRooS6dOmiP//8066P/DIW0v3/btzu1VdflcVi0bhx4+zW5+R4ECqR7ebNm6fBgwdr+PDh2rZtm6pVq6awsDAlJibmdmnZbs2aNerbt682bNigFStW6MaNG2ratKkuX75sazNo0CD9+OOPWrBggdasWaM///xTL7zwQi5Wnf02b96sL7/8UlWrVrVb/yiNxfnz51WvXj0VKFBAy5Yt0759+/TRRx+pUKFCtjYffPCBxo8fry+++EIbN26Um5ubwsLCdPXq1VysPOuNGTNGkyZN0sSJExUXF6cxY8bogw8+0IQJE2xt8vNYXL58WdWqVdNnn3121+0ZOffw8HDt3btXK1as0JIlS7R27Vr16tUrp04hy9xrLK5cuaJt27Zp2LBh2rZtmxYuXKj9+/fr+eeft2uXX8ZCuv/fjVsWLVqkDRs23PW7uXN0PAwgmz3xxBNG3759bcspKSlGiRIljKioqFysKnckJiYakow1a9YYhmEYFy5cMAoUKGAsWLDA1iYuLs6QZKxfvz63ysxWFy9eNIKCgowVK1YY9evXNwYMGGAYxqM3Fm+99Zbx5JNPprs9NTXV8PPzMz788EPbugsXLhhWq9WYM2dOTpSYY1q0aGF0797dbt0LL7xghIeHG4bxaI2FJGPRokW25Yyc+759+wxJxubNm21tli1bZlgsFuPEiRM5VntWu3Ms7mbTpk2GJOPYsWOGYeTfsTCM9Mfjjz/+MEqWLGns2bPHKFWqlPHJJ5/YtuX0eDBTiWx1/fp1bd26VY0bN7atc3BwUOPGjbV+/fpcrCx3JCUlSZIKFy4sSdq6datu3LhhNz4VK1ZUQEBAvh2fvn37qkWLFnbnLD16Y7F48WKFhobqpZdeUrFixVS9enV9/fXXtu1Hjx7VqVOn7MbDy8tLtWvXznfjUbduXcXGxurAgQOSpJ07d+q3337Ts88+K+nRGos7ZeTc169fL29vb4WGhtraNG7cWA4ODtq4cWOO15yTkpKSZLFY5O3tLenRG4vU1FR17txZb7zxhipXrpxme06Ph1OW9wjc5syZM0pJSZGvr6/del9fX/3++++5VFXuSE1N1cCBA1WvXj1VqVJFknTq1Ck5Ozvb/kO8xdfXV6dOncqFKrPX3LlztW3bNm3evDnNtkdtLI4cOaJJkyZp8ODBevvtt7V582b1799fzs7O6tq1q+2c7/ZvJ7+Nx9ChQ5WcnKyKFSvK0dFRKSkpeu+99xQeHi5Jj9RY3Ckj537q1CkVK1bMbruTk5MKFy6cr8fn6tWreuutt9ShQwd5enpKevTGYsyYMXJyclL//v3vuj2nx4NQCeSQvn37as+ePfrtt99yu5Rccfz4cQ0YMEArVqxQwYIFc7ucXJeamqrQ0FC9//77kqTq1atrz549+uKLL9S1a9dcri5nzZ8/X7NmzdLs2bNVuXJl7dixQwMHDlSJEiUeubFAxty4cUPt2rWTYRiaNGlSbpeTK7Zu3apPP/1U27Ztk8Viye1yJPGgDrJZ0aJF5ejomOYJ3tOnT8vPzy+Xqsp5/fr105IlS7Rq1So99thjtvV+fn66fv26Lly4YNc+P47P1q1blZiYqBo1asjJyUlOTk5as2aNxo8fLycnJ/n6+j4yYyFJxYsXV6VKlezWBQcHKyEhQZJs5/wo/Nt54403NHToUL388ssKCQlR586dNWjQIEVFRUl6tMbiThk5dz8/vzQPPt68eVPnzp3Ll+NzK1AeO3ZMK1assM1SSo/WWPz6669KTExUQECA7f/UY8eO6fXXX1dgYKCknB8PQiWylbOzs2rWrKnY2FjbutTUVMXGxqpOnTq5WFnOMAxD/fr106JFi/TLL7+odOnSdttr1qypAgUK2I3P/v37lZCQkO/Gp1GjRtq9e7d27Nhh+4SGhio8PNz250dlLCSpXr16aV4vdeDAAZUqVUqSVLp0afn5+dmNR3JysjZu3JjvxuPKlStycLD/deTo6KjU1FRJj9ZY3Ckj516nTh1duHBBW7dutbX55ZdflJqaqtq1a+d4zdnpVqA8ePCgVq5cqSJFithtf5TGonPnztq1a5fd/6klSpTQG2+8oZiYGEm5MB5Z/ugPcIe5c+caVqvViI6ONvbt22f06tXL8Pb2Nk6dOpXbpWW73r17G15eXsbq1auNkydP2j5XrlyxtXn11VeNgIAA45dffjG2bNli1KlTx6hTp04uVp1zbn/62zAerbHYtGmT4eTkZLz33nvGwYMHjVmzZhmurq7GzJkzbW1Gjx5teHt7Gz/88IOxa9cuo1WrVkbp0qWNv/76Kxcrz3pdu3Y1SpYsaSxZssQ4evSosXDhQqNo0aLGm2++aWuTn8fi4sWLxvbt243t27cbkoyPP/7Y2L59u+2J5oyce7NmzYzq1asbGzduNH777TcjKCjI6NChQ26d0gO711hcv37deP75543HHnvM2LFjh93/qdeuXbP1kV/GwjDu/3fjTnc+/W0YOTsehErkiAkTJhgBAQGGs7Oz8cQTTxgbNmzI7ZJyhKS7fqZOnWpr89dffxl9+vQxChUqZLi6uhpt2rQxTp48mXtF56A7Q+WjNhY//vijUaVKFcNqtRoVK1Y0vvrqK7vtqampxrBhwwxfX1/DarUajRo1Mvbv359L1Waf5ORkY8CAAUZAQIBRsGBBo0yZMsa//vUvu6CQn8di1apVd/1/omvXroZhZOzcz549a3To0MFwd3c3PD09jW7duhkXL17MhbMx515jcfTo0XT/T121apWtj/wyFoZx/78bd7pbqMzJ8bAYxm1fWQAAAAA8AO6pBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaYRKAAAAmEaoBAAAgGmESgAAAJhGqAQAAIBphEoAAACYRqgEAACAaf8PmFmJ0dDcnCoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference.groupby('Type').count()['Disruption Date/Time'].sort_values()\\\n",
    ".plot(kind='barh',title='Types of interference')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbe05340-e729-48d8-b86c-9b22e91fc71f",
   "metadata": {},
   "source": [
    "### Interference per country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3313f1e0-1859-471e-bcd0-043285098f02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Locations affected by interference'}, ylabel='Country name (using title case)'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference.groupby('Country name (using title case)').count()['Disruption Date/Time'].sort_values()\\\n",
    ".plot(kind='barh',figsize=[12,19],title='Locations affected by interference')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdd30892-9166-477f-87cb-0b237925bd97",
   "metadata": {},
   "source": [
    "The majority of the interference cases reported are from Egypt (Suez), United States, and countries withing range of Syria and Libya. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4106207f-cfca-4472-bb23-6a3b45a7f1d9",
   "metadata": {},
   "source": [
    "### Investigate country grouping per source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "eecd8bfb-bc31-4872-87c0-a84d7fed388b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='Source'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAksAAAGdCAYAAAACMjetAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy89olMNAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAfPUlEQVR4nO3de5BU9Zn44Xe4jeJcCKAMg9wEoiiXAMplWQFFBDSoC2XUkAgipGIwG2Q3KokEcKkMsvGyKqVV2XCpJEq0XIi6Fa1VgRBFXVAWsRSVwkCWm2KYAVFA6P2Dn/PLCH5lxsGey/NUddX06e7Tb3Pq1Hw4fbonJ5PJZAIAgGNqkO0BAABqMrEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkNMr2ALXN4cOHY+vWrZGfnx85OTnZHgcAOA6ZTCb27NkTxcXF0aBB5Y4ViaVK2rp1a7Rt2zbbYwAAVbBly5Y4/fTTK/UYsVRJ+fn5EXHkH7ugoCDL0wAAx6OsrCzatm1b/nu8MsRSJX361ltBQYFYAoBapiqn0DjBGwAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCAhEbZHqC26jbj6WiQ2zTbYwBAnfHunEuzPcIxObIEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJBQY2MpJycnli5dGhER7777buTk5MTatWuzOhMAUP80yuaTjx8/Pnbv3l0eRX9r27Zt8bWvfe2rHwoA4G9kNZZSioqKsj0CAEDteBvuU2+++Wb83d/9XZx00knRrVu3WLFiRUREZDKZ6Ny5c/ziF7+ocP+1a9dGTk5OvPPOOxERcdddd0X37t3jlFNOibZt28YPfvCD2Lt371fyegCA2qnGxtKx/PjHP45/+qd/ildffTUGDBgQo0aNil27dkVOTk5MmDAhFixYUOH+CxYsiEGDBkXnzp0jIqJBgwZx7733xuuvvx6LFi2K5557Lm6++ebkc+7fvz/KysoqXACA+qNWxdKNN94YY8aMia5du8YDDzwQhYWF8atf/Soijpz/tGHDhnj55ZcjIuLgwYPx0EMPxYQJE8ofP2XKlLjggguiQ4cOceGFF8bs2bPjkUceST5nSUlJFBYWll/atm174l4gAFDj1KpYGjBgQPnPjRo1inPPPTfeeOONiIgoLi6OSy+9NObPnx8REU888UTs378/rrzyyvLHPPPMMzF06NBo06ZN5Ofnx3e/+93YtWtX7Nu373Ofc9q0aVFaWlp+2bJlywl6dQBATVSrYumLTJw4MRYvXhwfffRRLFiwIK666qpo2rRpRBz5+oFvfvOb0aNHj3jsscdizZo1MW/evIiIOHDgwOeuMzc3NwoKCipcAID6o1bF0osvvlj+8yeffBJr1qyJrl27li+75JJL4pRTTokHHnggnnrqqQpvwa1ZsyYOHz4cd955Z/Tv3z++/vWvx9atW7/S+QGA2ifrXx1QWlp61JdNtmjR4pj3nTdvXnTp0iW6du0ad999d/z1r3+tEEQNGzaM8ePHx7Rp06JLly4V3rbr3LlzHDx4MO67774YNWpUPP/88/Hggw+ekNcEANQdWT+ytHz58ujVq1eFy6xZs4553zlz5sScOXOiZ8+e8ac//Skef/zxaNmyZYX7XH/99XHgwIG47rrrKizv2bNn3HXXXXHHHXdEt27d4re//W2UlJScsNcFANQNOZlMJpPtIarTypUrY+jQobFly5Zo1apVta+/rKzsyKfipjwSDXKbVvv6AaC+enfOpSds3Z/+/i4tLa30+cdZfxuuuuzfvz/ee++9mDlzZlx55ZUnJJQAgPon62/DVZeHH3442rdvH7t37465c+dmexwAoI6oM7E0fvz4OHToUKxZsybatGmT7XEAgDqizsQSAMCJIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJjbI9QG21ftbwKCgoyPYYAMAJ5sgSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJDTK9gC1VbcZT0eD3KbZHgMAKuXdOZdme4Rax5ElAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCAhCrH0q9//esYOHBgFBcXx5///OeIiLjnnnvi97//fbUNBwCQbVWKpQceeCCmTp0al1xySezevTsOHToUERHNmjWLe+65pzrnAwDIqirF0n333Re//OUv46c//Wk0bNiwfPm5554br732WrUNBwCQbVWKpU2bNkWvXr2OWp6bmxsffvjhlx4KAKCmqFIsdezYMdauXXvU8qeeeiq6du36ZWcCAKgxGlXlQVOnTo3JkyfHxx9/HJlMJl5++eV4+OGHo6SkJP793/+9umcEAMiaKsXSxIkT4+STT47bbrst9u3bF9/+9rejuLg4/u3f/i2uvvrq6p4RACBrqhRLERFjx46NsWPHxr59+2Lv3r1x2mmnVedcAAA1QpViadOmTfHJJ59Ely5domnTptG0adOIiHj77bejcePG0aFDh+qcEQAga6p0gvf48ePjhRdeOGr5Sy+9FOPHj/+yMwEA1BhViqVXX301Bg4ceNTy/v37H/NTcgAAtVWVYiknJyf27Nlz1PLS0tLyb/MGAKgLqhRLgwYNipKSkgphdOjQoSgpKYm///u/r7bhAACyrUoneM+ZMycGDx4cZ555Zpx//vkREbFy5cooKyuL5557rloHBADIpiodWTrnnHNi3bp18a1vfSt27twZe/bsiWuvvTbefPPN6NatW3XPCACQNZU+snTw4MEYMWJEPPjgg/Hzn//8RMxUrXJycmLJkiVxxRVXZHsUAKAWqvSRpcaNG8e6deuqfZD33nsvbrjhhmjXrl3k5uZGUVFRDB8+PJ5//vkvtd5t27bFyJEjq2lKAKC+qdLbcN/5znfiV7/6VbUOMmbMmHj11Vdj0aJF8dZbb8Xjjz8eQ4YMiV27dlVpfQcOHIiIiKKiosjNza3OUQGAeqRKJ3h/8sknMX/+/HjmmWeiT58+ccopp1S4/a677qrU+nbv3h0rV66M5cuXx+DBgyMion379tG3b9+IiJgwYULs3LkznnzyyfLHHDx4MNq0aRMlJSVx/fXXx5AhQ6Jbt27RqFGj+M1vfhPdu3ePZcuWHfU23C233BJLliyJv/zlL1FUVBRjx46Nn/3sZ9G4ceOq/FMAAHVclWJp/fr10bt374iIeOuttyrclpOTU+n15eXlRV5eXixdujT69+9/1JGgiRMnxqBBg2Lbtm3RunXriIh48sknY9++fXHVVVeV32/RokVxww03JN+6y8/Pj4ULF0ZxcXG89tprMWnSpMjPz4+bb775mPffv39/7N+/v/x6WVlZpV8fAFB75WQymUy2h4iIeOyxx2LSpEnx0UcfRe/evWPw4MFx9dVXR48ePSLiyCfwxo0bVx41l112WbRo0SIWLFgQERFDhgyJsrKyeOWVVyqs94tO8P7FL34RixcvjtWrVx/z9pkzZ8asWbOOWt52yiPRILdpVV8uAGTFu3MuzfYIWVFWVhaFhYVRWloaBQUFlXpslc5ZOhHGjBkTW7dujccffzxGjBgRy5cvj969e8fChQsj4sjRpU/DaMeOHfGHP/whJkyYUGEdffr0+cLn+d3vfhcDBw6MoqKiyMvLi9tuuy02b978ufefNm1alJaWll+2bNlS9RcJANQ6VXob7oILLki+3VbVL6Y86aSTYtiwYTFs2LCYPn16TJw4MWbMmBHjx4+Pa6+9Nm699dZYtWpVvPDCC9GxY8fyL8T81GfPnfqsVatWxdixY2PWrFkxfPjwKCwsjMWLF8edd975uY/Jzc11gjgA1GNViqVvfOMbFa4fPHgw1q5dG+vXr49x48ZVx1wREXH22WfH0qVLIyKiRYsWccUVV8SCBQti1apVcd1111V6fS+88EK0b98+fvrTn5Yv+/Of/1xd4wIAdVCVYunuu+8+5vKZM2fG3r17K72+Xbt2xZVXXhkTJkyIHj16RH5+fqxevTrmzp0bl19+efn9Jk6cGN/85jfj0KFDVYqyLl26xObNm2Px4sVx3nnnxX/+53/GkiVLKr0eAKD+qNZzlr7zne/E/PnzK/24vLy86NevX9x9990xaNCg6NatW0yfPj0mTZoU999/f/n9LrroomjdunUMHz48iouLK/08l112Wdx0001x4403xje+8Y144YUXYvr06ZVeDwBQf1Trp+F+/etfxy233BJbt26trlVWsHfv3mjTpk0sWLAgRo8efUKe44t8eja9T8MBUBv5NFzlPw1XpbfhPhsqmUwmtm3bFqtXrz4hR2oOHz4c77//ftx5553RrFmzuOyyy6r9OQAAjqVKsVRYWFjheoMGDeLMM8+M22+/PS6++OJqGexvbd68OTp27Binn356LFy4MBo1qtLYAACVVqXq+PT7jr4qHTp0iBry3ZkAQD3zpQ7RrFmzJt54442IOPIN27169aqWoQAAaooqxdLOnTvj6quvjuXLl0ezZs0i4sgfw73gggti8eLFceqpp1bnjAAAWVOlrw744Q9/GHv27InXX389Pvjgg/jggw9i/fr1UVZWFv/4j/9Y3TMCAGRNlY4sPfXUU/HMM89E165dy5edffbZMW/evBNygjcAQLZU6cjS4cOHo3Hjxkctb9y4cRw+fPhLDwUAUFNUKZYuvPDC+NGPflThyyf/93//N2666aYYOnRotQ0HAJBtVYql+++/P8rKyqJDhw7RqVOn6NSpU3To0CHKysrivvvuq+4ZAQCypkrnLLVt2zZeeeWVeOaZZ+LNN9+MiCPnLDmqBADUNZU6srRq1ap48sknIyIiJycnhg0bFgUFBXHnnXfGNddcE9/73vdi//79J2RQAIBsqFQs3X777fH666+XX3/ttddi0qRJMWzYsLj11lvjiSeeiJKSkmofEgAgWyoVS2vXrq3wVtvixYujb9++8ctf/jKmTp0a9957bzzyyCPVPiQAQLZUKpb++te/RqtWrcqvr1ixIkaOHFl+/bzzzostW7ZU33QAAFlWqVhq1apVbNq0KSIiDhw4EK+88kr079+//PY9e/Yc8/uXAABqq0rF0iWXXBK33nprrFy5MqZNmxZNmzaN888/v/z2devWRadOnap9SACAbKnUVwf8y7/8S4wePToGDx4ceXl5sWjRomjSpEn57fPnz/fnTgCAOqVSsdSyZcv44x//GKWlpZGXlxcNGzascPujjz4aeXl51TogAEA2VelLKQsLC4+5vHnz5l9qGACAmqZKf+4EAKC+EEsAAAliCQAgQSwBACRU6QRvItbPGh4FBQXZHgMAOMEcWQIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAICERtkeoLbqNuPpaJDbNNtj1Gvvzrk02yMAUA84sgQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASalQsvffee3HDDTdEu3btIjc3N4qKimL48OHx/PPPZ3s0AKCeapTtAf7WmDFj4sCBA7Fo0aI444wzYseOHfHss8/Grl27sj0aAFBP1ZgjS7t3746VK1fGHXfcERdccEG0b98++vbtG9OmTYvLLrss3n333cjJyYm1a9dWeExOTk4sX768fNn69etj5MiRkZeXF61atYrvfve78f7770dElK/js5chQ4Z8tS8WAKg1akws5eXlRV5eXixdujT2799fpXXs3r07LrzwwujVq1esXr06nnrqqdixY0d861vfioiItm3bxrZt28ovr776arRo0SIGDRr0uevcv39/lJWVVbgAAPVHjYmlRo0axcKFC2PRokXRrFmzGDhwYPzkJz+JdevWHfc67r///ujVq1f8/Oc/j7POOit69eoV8+fPj2XLlsVbb70VDRs2jKKioigqKopmzZrF97///RgwYEDMnDnzc9dZUlIShYWF5Ze2bdtWw6sFAGqLGhNLEUfOWdq6dWs8/vjjMWLEiFi+fHn07t07Fi5ceFyP/5//+Z9YtmxZ+VGqvLy8OOussyIiYuPGjRXuO2HChNizZ0889NBD0aDB5/8zTJs2LUpLS8svW7ZsqfLrAwBqnxp1gndExEknnRTDhg2LYcOGxfTp02PixIkxY8aMWLlyZUREZDKZ8vsePHiwwmP37t0bo0aNijvuuOOo9bZu3br859mzZ8fTTz8dL7/8cuTn5yfnyc3Njdzc3C/zkgCAWqzGxdJnnX322bF06dI49dRTIyJi27Zt0atXr4iICid7R0T07t07HnvssejQoUM0anTsl/bYY4/F7bffHn/4wx+iU6dOJ3R2AKD2qzFvw+3atSsuvPDC+M1vfhPr1q2LTZs2xaOPPhpz586Nyy+/PE4++eTo379/zJkzJ954441YsWJF3HbbbRXWMXny5Pjggw/immuuif/+7/+OjRs3xtNPPx3XXXddHDp0KNavXx/XXntt3HLLLXHOOefE9u3bY/v27fHBBx9k6VUDADVdjYmlvLy86NevX9x9990xaNCg6NatW0yfPj0mTZoU999/f0REzJ8/Pz755JPo06dPTJkyJWbPnl1hHcXFxfH888/HoUOH4uKLL47u3bvHlClTolmzZtGgQYNYvXp17Nu3L2bPnh2tW7cuv4wePTobLxkAqAVyMn97EhBfqKys7Min4qY8Eg1ym2Z7nHrt3TmXZnsEAGqJT39/l5aWRkFBQaUeW2OOLAEA1ERiCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQEKjbA9QW62fNTwKCgqyPQYAcII5sgQAkCCWAAASxBIAQIJYAgBIEEsAAAliCQAgQSwBACSIJQCABLEEAJAglgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACWIJACBBLAEAJIglAIAEsQQAkCCWAAASxBIAQIJYAgBIEEsAAAmNsj1AbZPJZCIioqysLMuTAADH69Pf25/+Hq8MsVRJu3btioiItm3bZnkSAKCy9uzZE4WFhZV6jFiqpObNm0dExObNmyv9j031KSsri7Zt28aWLVuioKAg2+PUW7ZDzWFb1Ay2Q83x2W2RyWRiz549UVxcXOl1iaVKatDgyGlehYWFdoQaoKCgwHaoAWyHmsO2qBlsh5rjb7dFVQ9yOMEbACBBLAEAJIilSsrNzY0ZM2ZEbm5utkep12yHmsF2qDlsi5rBdqg5qnNb5GSq8hk6AIB6wpElAIAEsQQAkCCWAAASxBIAQIJYqoR58+ZFhw4d4qSTTop+/frFyy+/nO2R6p2ZM2dGTk5OhctZZ52V7bHqvD/+8Y8xatSoKC4ujpycnFi6dGmF2zOZTPzsZz+L1q1bx8knnxwXXXRRvP3229kZto77om0xfvz4o/aRESNGZGfYOqykpCTOO++8yM/Pj9NOOy2uuOKK2LBhQ4X7fPzxxzF58uRo0aJF5OXlxZgxY2LHjh1ZmrhuOp7tMGTIkKP2ie9///uVeh6xdJx+97vfxdSpU2PGjBnxyiuvRM+ePWP48OGxc+fObI9W75xzzjmxbdu28suf/vSnbI9U53344YfRs2fPmDdv3jFvnzt3btx7773x4IMPxksvvRSnnHJKDB8+PD7++OOveNK674u2RUTEiBEjKuwjDz/88Fc4Yf2wYsWKmDx5crz44ovxX//1X3Hw4MG4+OKL48MPPyy/z0033RRPPPFEPProo7FixYrYunVrjB49OotT1z3Hsx0iIiZNmlRhn5g7d27lnijDcenbt29m8uTJ5dcPHTqUKS4uzpSUlGRxqvpnxowZmZ49e2Z7jHotIjJLliwpv3748OFMUVFR5l//9V/Ll+3evTuTm5ubefjhh7MwYf3x2W2RyWQy48aNy1x++eVZmac+27lzZyYiMitWrMhkMkf2gcaNG2ceffTR8vu88cYbmYjIrFq1Kltj1nmf3Q6ZTCYzePDgzI9+9KMvtV5Hlo7DgQMHYs2aNXHRRReVL2vQoEFcdNFFsWrVqixOVj+9/fbbUVxcHGeccUaMHTs2Nm/enO2R6rVNmzbF9u3bK+wfhYWF0a9fP/tHlixfvjxOO+20OPPMM+OGG26IXbt2ZXukOq+0tDQi/v8fW1+zZk0cPHiwwn5x1llnRbt27ewXJ9Bnt8Onfvvb30bLli2jW7duMW3atNi3b1+l1usP6R6H999/Pw4dOhStWrWqsLxVq1bx5ptvZmmq+qlfv36xcOHCOPPMM2Pbtm0xa9asOP/882P9+vWRn5+f7fHqpe3bt0dEHHP/+PQ2vjojRoyI0aNHR8eOHWPjxo3xk5/8JEaOHBmrVq2Khg0bZnu8Ounw4cMxZcqUGDhwYHTr1i0ijuwXTZo0iWbNmlW4r/3ixDnWdoiI+Pa3vx3t27eP4uLiWLduXdxyyy2xYcOG+I//+I/jXrdYolYZOXJk+c89evSIfv36Rfv27eORRx6J66+/PouTQc1w9dVXl//cvXv36NGjR3Tq1CmWL18eQ4cOzeJkddfkyZNj/fr1zp/Mss/bDt/73vfKf+7evXu0bt06hg4dGhs3boxOnTod17q9DXccWrZsGQ0bNjzqUww7duyIoqKiLE1FRESzZs3i61//erzzzjvZHqXe+nQfsH/UTGeccUa0bNnSPnKC3HjjjfHkk0/GsmXL4vTTTy9fXlRUFAcOHIjdu3dXuL/94sT4vO1wLP369YuIqNQ+IZaOQ5MmTaJPnz7x7LPPli87fPhwPPvsszFgwIAsTsbevXtj48aN0bp162yPUm917NgxioqKKuwfZWVl8dJLL9k/aoC//OUvsWvXLvtINctkMnHjjTfGkiVL4rnnnouOHTtWuL1Pnz7RuHHjCvvFhg0bYvPmzfaLavRF2+FY1q5dGxFRqX3C23DHaerUqTFu3Lg499xzo2/fvnHPPffEhx9+GNddd122R6tX/vmf/zlGjRoV7du3j61bt8aMGTOiYcOGcc0112R7tDpt7969Ff4XtmnTpli7dm00b9482rVrF1OmTInZs2dHly5domPHjjF9+vQoLi6OK664IntD11GpbdG8efOYNWtWjBkzJoqKimLjxo1x8803R+fOnWP48OFZnLrumTx5cjz00EPx+9//PvLz88vPQyosLIyTTz45CgsL4/rrr4+pU6dG8+bNo6CgIH74wx/GgAEDon///lmevu74ou2wcePGeOihh+KSSy6JFi1axLp16+Kmm26KQYMGRY8ePY7/ib7UZ+nqmfvuuy/Trl27TJMmTTJ9+/bNvPjii9keqd656qqrMq1bt840adIk06ZNm8xVV12Veeedd7I9Vp23bNmyTEQcdRk3blwmkzny9QHTp0/PtGrVKpObm5sZOnRoZsOGDdkduo5KbYt9+/ZlLr744sypp56aady4caZ9+/aZSZMmZbZv357tseucY22DiMgsWLCg/D4fffRR5gc/+EHma1/7WqZp06aZf/iHf8hs27Yte0PXQV+0HTZv3pwZNGhQpnnz5pnc3NxM586dMz/+8Y8zpaWllXqenP/3ZAAAHINzlgAAEsQSAECCWAIASBBLAAAJYgkAIEEsAQAkiCUAgASxBACQIJYAABLEEgBAglgCAEgQSwAACf8HXnL7fK7vaj4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.groupby('Source').count()['Disruption Date/Time'].sort_values().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "57273aad-9705-4fe4-bb41-fd2f448096cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='coalesce'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.query('Source==\"Libya\"').groupby('coalesce').count()['Disruption Date/Time'].sort_values().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1c475a9b-f8cb-41e5-a703-77cc0a650be6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f56486dd750>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.query('Source==\"Libya\"').groupby(['coalesce','local_date']).count()['Code'].unstack().transpose()\\\n",
    ".plot(marker='.',ls=' ', rot=90).legend()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "03b13eb6-2796-4fa8-959b-3bf4f9bae1a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>local_date</th>\n",
       "      <th>coalesce</th>\n",
       "      <th>Location</th>\n",
       "      <th>User</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coalesced_country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2021-08-15</td>\n",
       "      <td>IT</td>\n",
       "      <td>At Sea sout Sicilia Italy</td>\n",
       "      <td>USER: Both of GPS receiver lost signal , its s...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2021-06-05</td>\n",
       "      <td>IT</td>\n",
       "      <td>Italy</td>\n",
       "      <td>USER: All GPS RECEIVERS WENT INTO ALARM MODE W...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2021-06-04</td>\n",
       "      <td>IT</td>\n",
       "      <td>Off Sicilia, Italy</td>\n",
       "      <td>USER: The vessel has been experiencing an inte...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2021-05-24</td>\n",
       "      <td>IT</td>\n",
       "      <td>Riace, Italy</td>\n",
       "      <td>USER: No pos. gps.</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2021-02-04</td>\n",
       "      <td>IT PNL</td>\n",
       "      <td>North of Pantelleria Island Med Sea</td>\n",
       "      <td>USER: Vessel bound from Algeciras, Spain to Po...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2020-09-25</td>\n",
       "      <td>IT</td>\n",
       "      <td>Italy</td>\n",
       "      <td>User: Both of our GPS where having satellites ...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>IT</td>\n",
       "      <td>South East of Italy</td>\n",
       "      <td>User: During navigation in the Mediterranean S...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>IT PNL</td>\n",
       "      <td>North of Pantelleria Island</td>\n",
       "      <td>User indicated an intermittent problem that wa...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2017-05-19</td>\n",
       "      <td>IT</td>\n",
       "      <td>Turin, Italy</td>\n",
       "      <td>User: Since 17/05/2017 GNSS signal at frequenc...</td>\n",
       "      <td>Research</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  local_date coalesce                             Location  \\\n",
       "coalesced_country                                                            \n",
       "IT                2021-08-15       IT            At Sea sout Sicilia Italy   \n",
       "IT                2021-06-05       IT                                Italy   \n",
       "IT                2021-06-04       IT                   Off Sicilia, Italy   \n",
       "IT                2021-05-24       IT                         Riace, Italy   \n",
       "IT                2021-02-04   IT PNL  North of Pantelleria Island Med Sea   \n",
       "IT                2020-09-25       IT                                Italy   \n",
       "IT                2020-09-23       IT                  South East of Italy   \n",
       "IT                2020-08-14   IT PNL          North of Pantelleria Island   \n",
       "IT                2017-05-19       IT                         Turin, Italy   \n",
       "\n",
       "                                                                User      Type  \n",
       "coalesced_country                                                               \n",
       "IT                 USER: Both of GPS receiver lost signal , its s...    Marine  \n",
       "IT                 USER: All GPS RECEIVERS WENT INTO ALARM MODE W...    Marine  \n",
       "IT                 USER: The vessel has been experiencing an inte...    Marine  \n",
       "IT                                               USER: No pos. gps.     Marine  \n",
       "IT                 USER: Vessel bound from Algeciras, Spain to Po...    Marine  \n",
       "IT                 User: Both of our GPS where having satellites ...    Marine  \n",
       "IT                 User: During navigation in the Mediterranean S...    Marine  \n",
       "IT                 User indicated an intermittent problem that wa...    Marine  \n",
       "IT                 User: Since 17/05/2017 GNSS signal at frequenc...  Research  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GPS_interference.set_index('coalesced_country').loc['IT'][['local_date','coalesce','Location','User','Type']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "812858da-d044-47d5-8c9f-bf3e43f83ebf",
   "metadata": {},
   "source": [
    "Checked detailed location of early italian case, it's Turin. Hope to fix it by getting full code through from processing. Or stick to Marine!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2ed80f8b-e974-4e90-a7ed-ab79c21c3541",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='coalesce'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.query('Source==\"Syria\"').groupby('coalesce').count()['Disruption Date/Time'].sort_values().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "52b0bf5d-14d6-480e-8822-0f6ad9c5d999",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f56462c9510>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.query('Source==\"Syria\"').groupby(['coalesce','local_date']).count()['Code'].unstack().transpose()\\\n",
    ".plot(marker='.',ls=' ', rot=90).legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "861c2549-d032-4671-98d6-3d08908885ef",
   "metadata": {},
   "source": [
    "Turkey cases suspiciously concentrated at the end. Check detailed location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "68eb58cb-70de-413a-a6cf-4d61014e21d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>local_date</th>\n",
       "      <th>coalesce</th>\n",
       "      <th>Location</th>\n",
       "      <th>User</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coalesced_country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>TR ISK</td>\n",
       "      <td>ISKENDERUN/MERSIN BAY</td>\n",
       "      <td>USER: On 28th May 2022 at 1940Z during trading...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2022-04-12</td>\n",
       "      <td>TR</td>\n",
       "      <td>Mersin, Turkey, Anchorage #2</td>\n",
       "      <td>USER: Vessel experienced both jamming, where t...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2022-03-17</td>\n",
       "      <td>TR ISK</td>\n",
       "      <td>abt 70 Nm off-Iskenderun , Turkey</td>\n",
       "      <td>USER: All Navigational and Communication Equip...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>TR</td>\n",
       "      <td>Mersin Turkey</td>\n",
       "      <td>USER: all vessel GPS units stopped receiving a...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2021-10-25</td>\n",
       "      <td>TR IST</td>\n",
       "      <td>Istanbul Strait / Marmara</td>\n",
       "      <td>USER: After dropping anchor at Istanbul anchor...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2021-10-13</td>\n",
       "      <td>TR IST</td>\n",
       "      <td>Istanbul</td>\n",
       "      <td>User indicated an intermittent problem that wa...</td>\n",
       "      <td>Marine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TR</th>\n",
       "      <td>2021-10-07</td>\n",
       "      <td>TR IST</td>\n",
       "      <td>Istanbul</td>\n",
       "      <td>USER: I suddenly had an incorrect GPS signal, ...</td>\n",
       "      <td>Aviation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  local_date coalesce                           Location  \\\n",
       "coalesced_country                                                          \n",
       "TR                2022-05-28   TR ISK              ISKENDERUN/MERSIN BAY   \n",
       "TR                2022-04-12       TR       Mersin, Turkey, Anchorage #2   \n",
       "TR                2022-03-17   TR ISK  abt 70 Nm off-Iskenderun , Turkey   \n",
       "TR                2022-02-04       TR                      Mersin Turkey   \n",
       "TR                2021-10-25   TR IST          Istanbul Strait / Marmara   \n",
       "TR                2021-10-13   TR IST                           Istanbul   \n",
       "TR                2021-10-07   TR IST                           Istanbul   \n",
       "\n",
       "                                                                User      Type  \n",
       "coalesced_country                                                               \n",
       "TR                 USER: On 28th May 2022 at 1940Z during trading...    Marine  \n",
       "TR                 USER: Vessel experienced both jamming, where t...    Marine  \n",
       "TR                 USER: All Navigational and Communication Equip...    Marine  \n",
       "TR                 USER: all vessel GPS units stopped receiving a...    Marine  \n",
       "TR                 USER: After dropping anchor at Istanbul anchor...    Marine  \n",
       "TR                 User indicated an intermittent problem that wa...    Marine  \n",
       "TR                 USER: I suddenly had an incorrect GPS signal, ...  Aviation  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GPS_interference.set_index('coalesced_country').loc['TR'][['local_date','coalesce','Location','User','Type']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57834373-c153-4516-8175-b3f8f08b2dd6",
   "metadata": {},
   "source": [
    "We have left Istanbul cases out of group, other cases are all Mersin/Iskenderun, therefore within range."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "445268c7-dd3f-40ae-9879-05ff76320b3d",
   "metadata": {},
   "source": [
    "### Timeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e37dadcf-8453-4ede-9a18-f73346e8fae7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='local_date'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference.resample('M', on='local_date').count()['Disruption Date/Time'].plot(rot=90)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6eee392f-11cf-4860-b4bb-6e29c1804d04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='local_date'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.groupby(['Source','local_date']).count()['Cause'].unstack().transpose().plot(rot=90,ls='',marker='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fb005ad2-4d2f-4225-882c-f57dc95f3528",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f5644291330>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GPS_interference_assigned.groupby(['local_date','Source']).count()['Disruption Date/Time'].unstack().reset_index().resample('M', on='local_date').sum().plot(marker='.').legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f8abfe2-618f-40f0-9373-22c04e2aea85",
   "metadata": {},
   "source": [
    "## Discussion\n",
    "\n",
    "[Murrian et al (2021)](#Murrian-MJ,-Narula-L,-Iannucci-PA,-et-al.-(2021)) detect interference from China on the L2 frequency only. Given that cheaper and older GPS receivers operate at the L1 frequency only, this wouldn't be very effective as a jammer, it is more likely unintended interference.\n",
    "\n",
    "[Murrian et al (2021)](#Murrian-MJ,-Narula-L,-Iannucci-PA,-et-al.-(2021)) global analysis only covers up to 50N which is the latitude of Kharkiv in Eastern Ukraine. The active conflict at the time was to the south of this location, in Donbass. Their heatmap shows a 'footprint' of detected interference to the west of the jammer location. Since the Syria is well to the west of Libya and jamming in Libya started much later, they are easier to discriminate. But Kharkiv would be nearly directly above syria to the north, and assuming interference in or near Donbass hass been present for as long as in Syria, it would be harder to discriminate the two. The map in [Gerhard Berz (2022)](#Berz-G.-EUROCONTROL-(2022)) shows significant RFI detected further north and away from the ukrainian border, nearer Voronezh, and a separate area of weaker RFI in Moscow. Both of those are well north of 50N. \n",
    "\n",
    "[Gerhard Berz (2022)](#Berz-G.-EUROCONTROL-(2022)) of Eurocontrol comment that the interference locations shown in the 2021 Airbus Skywise map have been stable since 2018 would be consistent with [Murrian et al (2021)](#Murrian-MJ,-Narula-L,-Iannucci-PA,-et-al.-(2021)) regarding Syria, Suez and China but contradicts the emergence of strong interference from Libya in the middle of 2019. \n",
    "\n",
    "But [NATO Shipping Centre (2022)](#NATO-Shipping-Centre-(2022)) confirmss the mid 2019 onset. Note that their ellipse centred on Malta showing area affected does not extend down to Libya, but the NATO ellipses should be interpreted as the overlap between areas affected by interference, and busy maritime routes. This would also allow for uniting the less busy area between the three ellipses in the North Eastern Mediterranean, to show the entire triangle between Mersin, Beirut and Limassol as affected by the jammers on or near the Syrian coast.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d5ffe04-8cf3-42e3-888e-f4bb0beb35fc",
   "metadata": {},
   "source": [
    "As most interference reports to NAVCEN are from maritime users, and aviation comes third, the [NATO Shipping Centre (2022)](#NATO-Shipping-Centre-(2022)) maps will be more relevant than the [maps produced by the Airbus Skywise system for the second half of 2020](#Eurocontrol-Aviation-Intelligence-Unit,-Think-Paper-#9-(2021)) and [2021](#Berz-G.-EUROCONTROL-(2022))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c07ecf60-d033-46a2-9288-a7c030a3cab8",
   "metadata": {},
   "source": [
    "## Financial support - Conflict of Interest"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "357f32ef-3a56-4aa4-89d8-17478ea5c46f",
   "metadata": {},
   "source": [
    "This work was done in my own personal time, using information in the public domain, my personal computing resources and Github Codespaces, and not funded by my current or previous employers or other parties."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b65809fc-3db4-4e5f-8b82-c531d9449688",
   "metadata": {},
   "source": [
    "## References"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7f513da-b5a8-46e1-85ea-731208626611",
   "metadata": {},
   "source": [
    "##### Anadolu Agency (31 October 2019) \n",
    "[Libya: Haftar forces attack Misrata Air College. College bombed five times by unmanned aerial vehicles, says source with GNA forces.](https://www.aa.com.tr/en/africa/libya-haftar-forces-attack-misrata-air-college/1631348)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b63eb573-cf74-4193-b746-be58b6cb2072",
   "metadata": {},
   "source": [
    "##### Berz G. EUROCONTROL (2022) \n",
    "[Monitoring GNSS RF Interference, NM User Forum, Monitoring CNS Infrastructure Performance](https://www.eurocontrol.int/sites/default/files/2022-02/eurocontrol-nm-user-forum-gerhard-berz.pdf)\n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54fd4d15-9a97-4e3c-b497-90683c1c9768",
   "metadata": {},
   "source": [
    "##### Eurocontrol Aviation Intelligence Unit, Think Paper #9 (2021) \n",
    "[Does Radio Frequency Interference to Satellite Navigation pose an increasing threat to Network efficiency, cost-effectiveness and ultimately safety?](https://www.eurocontrol.int/publication/eurocontrol-think-paper-9-radio-frequency-interference-satellite-navigation-active)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52401e51-51b1-447a-b855-86ff8cda74f3",
   "metadata": {},
   "source": [
    "##### Eshel T. (2018)\n",
    "[Defense update: Russian Forces in Syria Repelled Massive Drone Attack on Hmeimim and Tartus](https://defense-update.com/20180108_uav_attack.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f692701-4450-4da4-8e41-e9ca1c5bcc78",
   "metadata": {},
   "source": [
    "##### Government Office for Science (2018) \n",
    "[Satellite-derived Time and Position: A Study of Critical Dependencies](https://www.gov.uk/government/publications/satellite-derived-time-and-position-blackett-review)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5a8c4f1-9db8-4d78-9423-9f578f4f4b46",
   "metadata": {},
   "source": [
    "##### Murrian MJ, Narula L, Iannucci PA, et al. (2021)\n",
    "First results from three years of GNSS interference monitoring from low Earth orbit. NAVIGATION. 2021;68:673–685. https://doi.org/10.1002/navi.449"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aefdd6a-ef91-4565-bd69-89ebd6ec15a9",
   "metadata": {},
   "source": [
    "##### NATO Shipping Centre (2022)\n",
    "[Threat to commercial shipping in the Mediterranean](https://shipping.nato.int/nsc/operations/news/2021/threat-to-commercial-shipping-in-the-mediterranean)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "502f460f-8c58-462f-907d-524ee6ff5512",
   "metadata": {},
   "source": [
    "##### Navigation Center, United States Coast Guard (2022)\n",
    "[Approved GPS Testing](https://navcen.uscg.gov/sites/default/files/pdf/gps/GPS_Interference.pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bc885f5-0cb2-42c1-bbce-37274cc6c74f",
   "metadata": {
    "tags": []
   },
   "source": [
    "##### Ofcom (2022) \n",
    "[Ofcom Website > Spectrum > Spectrum information > GPS jamming exercises](https://web.archive.org/web/20220121015758/https://www.ofcom.org.uk/spectrum/information/gps-jamming-exercises)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d466d0b-247a-4eab-9f1f-f5a8cf00bccf",
   "metadata": {},
   "source": [
    "##### Pérez Marcos, E.,Konovaltsev, A., Caizzone, S., Cuntz, M., Yinusa, K., Elmarissi, W. and Meurer, M. (2018) \n",
    "[Interference and Spoofing Detection for GNSS Maritime Applications using Direction of Arrival and Conformal Antenna Array](https://elib.dlr.de/127019/1/E2_PerezMarcos_Emilio_final.pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6eeee276-35a2-4fa9-a2da-83542f12db75",
   "metadata": {},
   "source": [
    "##### Trevithick, J. (2018)\n",
    "[Russia Implies Drone Swarm Attack On Its Base in Syria Linked to US P-8 Patrol Plane](https://www.thedrive.com/the-war-zone/17527/russia-is-trying-to-link-the-drone-swarm-attack-in-syria-to-a-us-p-8-patrol-plane)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbc8861d-44b2-4602-ad24-5f78628eaad5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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