stream_cat_config.py.template

#Local directory
LOCAL_DIR = "/path/to/local/repository"

# location of the landscape layers to perform statistics on
LYR_DIR = "/path/to/landscape/layers"
# ("O:/PRIV/CPHEA/PESD/COR/CORFiles/Geospatial_Library_Projects"
# "/StreamCat/LandscapeRasters/QAComplete")

# location of the NHDPlus, indicate the top-level directory
NHD_DIR = "/path/to/NHDPlusV21"

# TIGER shapefile is needed for calculaitng the `PctFull` values of Point type
# metrics as well as organizing the final tables into separate files for states.
# TODO: get the URL of this file
STATES_FILE = "/path/to/file/tl_2008_us_state.shp"
# ("L:/Priv/CORFiles/Geospatial_Library_Resource"
# "/POLITICAL/BOUNDARIES/NATIONAL/tl_2008_us_state.shp")

ACCUM_DIR = "path/to/local/repository/accump_npy/"


# location to write out accumulated StreamCat data <- this is intermediate
OUT_DIR = "/path/to/write/out/files/to"
# ("O:/PRIV/CPHEA/PESD/COR/CORFiles/Geospatial_Library_Projects"
# "/StreamCat/Allocation_and_Accumulation")

# location for the  final tables
FINAL_DIR = "/path/to/where/you/want/final/tables"
# ("O:/PRIV/CPHEA/PESD/COR/CORFiles/Geospatial_Library_Projects"
# "/StreamCat/FTP_Staging/HydroRegions")

# below are the directories that hold the mask rasters by VPU
# TODO: need to figure a better way to handle this
MASK_DIR_RP100 = "D:/Projects/Masks/RipBuf100"
MASK_DIR_SLP10 = "D:/Projects/Masks/midslope"
MASK_DIR_SLP20 = "D:/Projects/Masks/highslope"

# files that hold the pct_full data, created from ???
PCT_FULL_FILE = "L:/Priv/CORFiles/Geospatial_Library_Projects/StreamCat/ControlTables/ALL_BORDER_CATS.csv"
PCT_FULL_FILE_RP100 = "L:/Priv/CORFiles/Geospatial_Library_Projects/StreamCat/ControlTables/ALL_BORDER_CATS_Rp100.csv"

# these are the evaluated lengths of each VPU table when finished.

LENGTHS = {
    "01": 65968,
    "02": 126185,
    "03N": 132903,
    "03S": 55586,
    "03W": 135522,
    "04": 105452,
    "05": 170145,
    "06": 57642,
    "07": 183667,
    "08": 151544,
    "09": 29776,
    "10L": 196552,
    "10U": 256645,
    "11": 204120,
    "12": 68127,
    "13": 56220,
    "14": 83084,
    "15": 100243,
    "16": 95143,
    "17": 231698,
    "18": 140835,
}