Skip to content

suhanmappingideas/stars

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

STARS

Space-Time Analysis of Regional Systems: a package for exploratory space-time data analysis.

web/linkWin.png

The current version of STARS is based on a refactoring to move from Numeric to Numpy. This version should work on the following platforms

  • Linux
  • Windows
  • Mac

Installation

Using Conda (All Platforms)

  1. Install Anaconda Python Distribution
  2. conda create -n stars python=2 numpy=1.8 matplotlib scipy
  3. source activate stars
  4. cd stars; python -i starsgui.py

Vagrant under Ubuntu

Build and run the box:

  1. sudo apt-get install virtualbox
  2. sudo apt-get install vagrant
  3. vagrant up
  4. vagrant ssh
  5. cd stars
  6. python -i starsgui.py -i

The initial build will take some time, however future boots of the VM will be fast:

  1. vagrant up
  2. vagrant ssh
  3. cd stars
  4. python -i starsgui.py -i

If the following error is encountered:

URL: ["https://vagrantcloud.com/ubuntu/trusty32"]
Error: error setting certificate verify locations:
  CAfile: /etc/ssl/certs/ca-bundle.crt
  CApath: none

The solution on 15.04 is:

cd /etc/ssl/certs
sudo cp ca-certificates.crt ca-bundle.crt

Source

Currently only source installs are available:

  1. Download source archive from master
  2. cd stars-master/stars
  3. python -i starsgui.py

Mac OS X Notes

There is a bug with Tk under Mavericks resulting in slow updates of the views. Installing Active Python is a work-around.

The Tk bug has been fixed in Yosemite.

Windows Notes

STARS has been tested on the following versions:

  • Windows XP
  • Windows 7
  • Windows 8
  • Windows 8.1

Road Map

For more details on the plans for development, see STARS History and Road Map.

Links

About

Space-Time Analysis of Regional Systems

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%