generate_ref_stations: Generate ground stations for Raster file Extraction

In kanj241/agrosoil: Surface and Rootzone Soil Moisture Prediction

Generate ground stations for Raster file Extraction

Description

Generate a number of ground stations based on spatial coverage sampling approach for use in raster data extraction

Usage

generate_ref_stations(
  N_samples = 200,
  ROI_shp,
  out_dir,
  iterations = 10,
  crs_,
  ROI_state
)

Arguments

N_samples	Numeric. Number of required ground stations. Default value is 100
ROI_shp	Object of class SpatialPoints dataframe
out_dir	Directory to save outputs
iterations	Numeric. Number of resampling iterations. Default value is 10
crs_	Spatial reference for ground stations. Default is WGS84 "+proj=longlat +datum=WGS84 +no_defs"
ROI_state	String. Name of ROI for which stations are being generated.

Examples

library(spcosa)
library(raster)

generate_ref_stations(ROI_shp, out_dir, ROI_state)

kanj241/agrosoil documentation built on March 25, 2022, 12:22 a.m.