Statistical Geoinformatics of Human Linkage with Environment -- Localizing Fixed-Form Features -- Precedence and Patterns of Propensity -- Raster-Referenced Cellular Codings and Map Modeling -- Similar Settings as Clustered Components -- Intensity Images and Map Multimodels -- High Spots, Hot Spots, and Scan Statistics -- Shape, Support, and Partial Polygons -- Semisynchronous Signals and Variant Vicinities -- Auto-Association: Local Likeness and Distance Decline -- Regression Relations for Spatial Stations -- Spatial Stations as Surface Samples -- Shifting Spatial Structure -- Synthesis and Synopsis with Allegheny Application
Summary
Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons. These pa
