datSubset: Run spatial GLS models with optimal spatial correlation...

In natedemaagd/LandCover: Model the Spread of Landcovers and Effect on Water Yield

Description

This function runs a GLS model on a spatial dataset. It chooses among five types of correlation structure, and returns the model with the lowest AIC.

Usage

datSubset(
  data,
  x_coords_varname,
  y_coords_varname,
  shp_reg = NULL,
  shp_app = NULL,
  sample = NULL,
  convertFromUTM = FALSE
)

Arguments

data	data.frame that can be converted to a spatial data.frame. Coordinates must be in latitude and longitude (decimal degrees)
x_coords_varname	chr string specifying the x-coordinates in data
y_coords_varname	chr string specifying the y-coordinates in data
shp_reg	shapefile outlining the area of data to be used for the regression
shp_app	shapefile outlining the area of data to which the final simulation will be applied, if different from shp_reg
sample	integer. If the regression data are large, you may wish to sample the rows for the gls_spatial function.
convertFromUTM	logical. Set to TRUE if your shapfile(s) are in UTM coordinates.

Details

Subsets a data.frame according to provided shapefiles. The

Value

A list of two data.frames. The first is a data.frame with all points subsetted using the shp_reg shapefile. The second is a data.frame with all points subsetted using the shp_app or shp_reg shapefile, as appropriate.

natedemaagd/LandCover documentation built on April 1, 2021, 4:14 p.m.