General Spatial Stats Concepts Pt 1 Flashcards
Complete spatial randomness
No clustering or dispersion
entirely random distribution
Delaunay triangles
Builds Thiessen polygons from each feature
Distance band (or threshold distance)
plugged into a distance method like inverse distance or fixed distance
Ecological fallacy
assumes that an association found at an aggregated scale also applies at a finer scale
Fixed distance method
takes and counts features within a specified distance
Geographic weighting
assigns weights to neighbors based on distance
Hexagonal binning
creates an even grid of hexagons across the study area and counts the number of points per hexagon
good for lots of points
Gerrymandering
electoral district boundaries are manipulated to benefit one party
MAUP
Non-stationarity
data is not the same across the space
single regression model does not fit across the whole space
MAUP
modifiable areal unit problem
even if you don’t change scale, data can be manipulated if boundaries change
Stationarity
consistent across space with no local variation
Zone of indifference
Combination of distance threshold + inverse distance
Takes a threshold under which all values are counted the same and then an inverse distance model is applied