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

Description Usage Arguments Value Source References Examples

View source: R/dasymetric_map_adv.R

IMMATURE! RESULTS IN WAY TOO LESS POPULATION! Advanced dasymetric mapping that uses CORINE land use classes to make more valuable predictions on population counts. R

dasymetric_map_adv(
  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, https://www.eea.europa.eu/data-and-maps/data/population-density/mapping-population-density/mapping-population-density/download

Peedell, Steve (1999): Mapping Population Density. Distribution of Population using CORINE Land Cover. Ispra.

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