Projects code for the course I took in School of Information Sciences at the University of Pittsburgh
Spatial Data Aggregation.
Point Patterns Analysis: Regular and Random Quadrat Count Method.
Point Patterns Analysis: Random Quadrat Count Method, G and F function.
Spatial autocorrelation (Moran's I) and Distance-Based Techniques (G, F, K, and L functions).
Perform autocorrelation and local statistics among areas (polygons) of interest, perform global statistics and geographically weighted regression on spatial data, and apply spatial interpolation techniques to spatial datasets.
Spatial autocorrelation, interpolation and overlay analysis.