Quantitative spatial upscaling of categorical information: The multi-dimensional grid-point scaling algorithm Article

Gann, Daniel. (2019). Quantitative spatial upscaling of categorical information: The multi-dimensional grid-point scaling algorithm . Methods in Ecology and Evolution, 10(12), 2090-2104. 10.1111/2041-210X.13301

Open Access

cited authors

  • Gann, Daniel

sustainable development goals

authors

publication date

  • December 1, 2019

published in

keywords

  • CLASSIFICATION
  • COMPOSITIONAL DATA
  • Ecology
  • Environmental Sciences & Ecology
  • LEAF-AREA INDEX
  • Life Sciences & Biomedicine
  • NEUTRAL LANDSCAPE MODELS
  • PACKAGE
  • RESOLUTION
  • Science & Technology
  • VALUES
  • VEGETATION
  • categorical raster data
  • compositional count data
  • multi-dimensional grid-point
  • neutral landscape models
  • scaling algorithm
  • simplex
  • simulation
  • spatial scaling

Digital Object Identifier (DOI)

start page

  • 2090

end page

  • 2104

volume

  • 10

issue

  • 12