geponce

# Extract an aggregation of pixels from geotifs using a multi-polygon shapefile  
# Output:
#		 A csv file with one-row per polygon and as many columns as the number 
#		 geotif files processed
# @USDA-ARS-Tucson, AZ
# @Date: 04/02/2016
import os
import json
import pandas as pd
from rasterstats import zonal_stats, point_query

geponce

GetSPEI_Rasters_from_IPCC <- function(path, dateStart, dateEnd) {
# Generate monthly SPEI rasters using IPCC PETnatveg and Precipitation  
 # Args: 
 #      path: A string value with the directory where the .nc files are located
 #	dateStart: A string value with the starting date in the format: 2014-01-01
 # 	dateEnd: A string value with the ending date, same format
 # Returns: 
 # 	   SPEI Raster files as geotif for each model 
 # @USDA-ARS-Tucson, AZ
 # @Date: 05/16/2016

geponce

ConvertIPCC_netcdf2geoTiff <- function (path, dateStart, dateEnd) {
 # Converts IPCC netcdf time series into geotif files for the CONUS extent
 # Args: 
 #      path: A string value with the directory where the .nc files are located
 #	dateStart: A string value with the starting date in the format: 2014-01-01
 # 	dateEnd: A string value with the ending date, same format
 # Returns: 
 # 	   Raster files as geotif for each month/model
 # @USDA-ARS-Tucson, AZ
 # @Date: 05/10/2016