dasymetric_map: Create a dasymetric map
In JaFro96/dasymetric: Create Dasymetric Maps

Description Usage Arguments Value Source Examples

View source: R/dasymetric_map.R

Binary dasymetric mapping that uses urban areas to make more valuable predictions on population counts

1	dasymetric_map(target, source, ancillary_data, tid = NULL, extensive = NULL)

`target`	sf object containing geometry of the desired spatial zones
`source`	sf object that we want to interpolate
`ancillary_data`	sf object containing geometry that helps to better interpolate (i.e. land use, building footprints)
`tid`	Optional string denoting column with unique identifier for `target` geometries. Optional, and will otherwise be automatically generated
`extensive`	Required atomic vector of strings denoting columns in `source` with extensive variables (i.e. count data)

sf

https://github.com/slu-openGIS/areal/pull/27/commits/d86490f6544af4235bdbdf5f51a9cab000d2b78e

source_geom = sf::st_union(population_counts)
source=sf::st_sf(ID=1,population=sum(population_counts["population"]$population),source_geom)
urban = prep_landuse(corine_18)
dasymetric_map(population_counts, source, urban, extensive = "population")