General Spatial Stats Concepts Pt 1

Question 1

Complete spatial randomness

Answer 1

No clustering or dispersion
entirely random distribution

Question 2

Delaunay triangles

Answer 2

Builds Thiessen polygons from each feature

Question 3

Distance band (or threshold distance)

Answer 3

plugged into a distance method like inverse distance or fixed distance

Question 4

Ecological fallacy

Answer 4

assumes that an association found at an aggregated scale also applies at a finer scale

Question 5

Fixed distance method

Answer 5

takes and counts features within a specified distance

Question 6

Geographic weighting

Answer 6

assigns weights to neighbors based on distance

Question 7

Hexagonal binning

Answer 7

creates an even grid of hexagons across the study area and counts the number of points per hexagon

good for lots of points

Question 8

Gerrymandering

Answer 8

electoral district boundaries are manipulated to benefit one party

MAUP

Question 9

Non-stationarity

Answer 9

data is not the same across the space

single regression model does not fit across the whole space

Question 10

MAUP

Answer 10

modifiable areal unit problem

even if you don’t change scale, data can be manipulated if boundaries change

Question 11

Stationarity

Answer 11

consistent across space with no local variation

Question 12

Zone of indifference

Answer 12

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