Spatial Heterogeneity

Learning Objectives

• Why are spatial data fundamentally heterogeneous?
• What relation does spatial heterogeneity have with scale of analysis?
• How is spatial heterogeneity measured?
• How does spatial heterogeneity influence sampling and interpolation?

 
Lecture Materials
Definitions 
Spatial Heterogeneity
 
Affiliated Concepts
Grain
Pattern
Roughness
 
Examples 
Center for Spatially Integrated Social Sciences
Geographically Weighted Regression
 
spatial@ucsb
Spatial Heterogeneity
 
Wikipedia
Spatial Heterogeneity
 
 
Lab Materials
Activities by Discipline
 
 

Example GIS Tools
Block Statistics
Calculates Statistics for a non-overlapping neighborhood.
 
Geographically Weighted Regression
Performs GWR, a local form of linear regression used to model spatially varying relationships.
 
High/Low Clustering
Measures the degree of clustering for either high values or low values.