Geographic Data Science

Space, formally
Dani Arribas-Bel

Space, formally

For a statistical method to be explicitly spatial, it needs to contain some representation of the geography, or spatial context

One of the most common ways is through Spatial Weights Matrices

  • (Geo)Visualization: translating numbers into a (visual) language that the human brain “speaks better”
  • Spatial Weights Matrices: translating geography into a (numerical) language that a computer “speaks better”.

Core element in several spatial analysis techniques:

  • Spatial autocorrelation
  • Spatial clustering / geodemographics
  • Spatial regression

W as a formal representation of space


N x N positive matrix that contains spatial relations between all the observations in the sample

wii = 0 by convention

…What is a neighbor???

Creative Commons License
A course on Geographic Data Science by Dani Arribas-Bel is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.