Let’s not lie here; statistics are brutal, useful, but brutal. GIS (thank god) makes expressing statistical relationships easier and much more “consumable”. In addition to this, GIS also allows us to adapt classical statistics to fit into a landscape—analyzing where things/events are as they change across space. Spatial statistics are different than classical statistics. One of the easiest ways of putting this is classical statistics may take a sample of a population located in one area of a city and apply the results to the entire city. This is a big “no-no”, obviously sample income taken in one area of city will be different than another—waterfront homeowners are different than basement apartment renters.
Working with statistics in GIS
Lets use statistics to map out some relationships! A case study I did on Vancouver, Canada’s education social scores and their possible relationship to income and ESL by performing a geographically weighted…
Lihat pos aslinya 235 kata lagi