processNLCountry: Processes nightlights for an individual country in a...
In Rnightlights: Satellite Nightlight Data Extraction

Description Usage Arguments Details Value Examples

Given a countryCode, yearMonth and preferred processing methods cropMaskMethod and extractMethod, this function will first check if the data already exists in the cache. First it will check if the data file exists and if it does not it will create a dataframe of the country data containing only the administrative properties and move to processing. If the data file exists it will check to see if the particular year month already exists. If it exists, it will exit with a message. If it does not exist, it will load the country data file and move on to processing.

processNLCountry(ctryCode, admLevel, nlType,
  configName = pkgOptions(paste0("configName_", nlType)),
  multiTileStrategy = pkgOptions("multiTileStrategy"),
  multiTileMergeFun = pkgOptions("multiTileMergeFun"),
  removeGasFlares = pkgOptions("removeGasFlares"), nlPeriod,
  nlStats = pkgOptions("nlStats"),
  downloadMethod = pkgOptions("downloadMethod"),
  cropMaskMethod = pkgOptions("cropMaskMethod"),
  extractMethod = pkgOptions("extractMethod"),
  gadmVersion = pkgOptions("gadmVersion"),
  gadmPolyType = pkgOptions("gadmPolyType"), custPolyPath = NULL)

`ctryCode`	`character` The ctryCode of interest
`admLevel`	`character` The country admin level in the given ctryCode at which to calculate stats
`nlType`	`character` The nlType of interest
`configName`	character the type of raster being processed
`multiTileStrategy`	character How to handle multiple tiles per nlPeriod
`multiTileMergeFun`	character The function to use to merge tiles
`removeGasFlares`	logical Whether to perform gas flare removal pre-processing
`nlPeriod`	`character` The nlPeriod of interest
`nlStats`	the statistics to calculate. If not provided will calculate the stats specified in `pkgOptions("nlStats")`
`downloadMethod`	The method used to download polygons and rasters
`cropMaskMethod`	`character` Whether to use rasterize or gdal-based functions to crop and mask the country rasters
`extractMethod`	("rast" or "gdal") Whether to use rasterize or gdal-based functions to crop and mask the country rasters
`gadmVersion`	The GADM version to use
`gadmPolyType`	The format of polygons to download from GADM
`custPolyPath`	Alternative to GADM. A path to a custom shapefile zip

Processing consists of:

Reading in the country polygon in ESRI Shapefile format
Reading in the tiles that the particular country intersects with and then clipping the tile(s) to the country boundary
Extract the data from the clipped raster and compute various statistics at the lowest admin level in the country.
Finally, these stats are appended to the data frame and written to the data file.

NOTE: processNLCountry() assumes that all inputs are available and will not attempt to download them. It should ideally be called from the function processNlData() which does all the preparation for processing. processNlData() which can process multiple countries and time periods will download all the required tiles and polygons prior to calling processNlCountry. getCtryNlData can also be used with the option ignoreMissing=FALSE which will call processNlData in the background.

None

#calculate only the sum of monthly VIIRS radiances for Dec 2014 using gdal
#for both cropMask and extraction for KEN
## Not run: 
Rnightlights:::processNLCountry("KEN", "KEN_adm2", "VIIRS.M", "201412", "gdal", "gdal", "sum")

## End(Not run)