Spatial Analysis and Pattern
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13 Terms
Spatial Analysis
Search for spatial patterns
Inductive Reasoning
Observers the clusters/trends to generate a hypothesis
Deductive Reasoning
Starts with a hypotheses, turns it into spatial expectations to test whether the data fits.
Mean Center
The average spatial location (center of gravity) calculated by averaging all x and y coordinates.
Weighted Mean Center
Center location adjusted based on weight such as population/magnitude
Standard Distance
The distance from the mean center point, shown as a circle.
Directional Distribution
The directional trend of spatial data represented using a standard deviational ellipse.
Variance/Mean Ratio
A metric used to determine spatial patterns
Nearest Neighbor Statistic (NNS)
Determines whether a set of points are clustered (0) or spread evenly (2.15)
Hoover Index (H)
A scale from 0 to 100 measuring how evenly population are distributed across a region.
Modifiable Areal Unit Problem (MAUP)
statistical bias changes the results of spatial data
Gerrymandering
Redrawing voting districts, to hopefully win
Polsby-Popper Compactness Test
test used to measure district compactness.