Spatial Pattern Analysis Workshop

This page presents content from GISPopSci’s workshops on spatial pattern analysis. The main approaches to spatial pattern analysis include exploratory spatial data analysis (ESDA), spatial statistics, geostatistics, and spatial econometrics. We cover each of these four areas with an emphasis on spatial point pattern analysis and geostatistics, focusing on applications of spatial pattern analysis in a geographic information systems environment. This page links to a series of presentations on spatial pattern analysis, exercises demonstrating the principles outlined in the presentations, and data exploration based on current projects concerned with spatial patterns relating to various demographic, behavioral, and economic phenomena. The workshop emphasizes the fundamental principles and examples of the use of spatial pattern analysis for the help it gives toward the solution of important societal questions. Demonstrating concepts covered in the presentations, exercises utilize a variety of software tools including ArcGIS 9.x, Point Pattern Analysis, and GeoDa software, among others. Data exploration consists of GIS-based analyses of spatial data drawing on studies of crime within an urban environment (Arthur Getis), the spread of infectious diseases such as dengue fever in the tropics (Jared Aldstadt), and the diffusion of fertility decline in a third-world setting (John Weeks).

This content has been categorized into four modules. Each module contains readings, presentations, and exercises.

  • Module 1Introduction to Spatial Pattern Analysis and Population Science
  • Module 2Measuring Spatial Patterns
  • Module 3Spatial Modeling
  • Module 4Analyses and Applications

The students who completed this workshop created presentations during the course of their study. A list of these students and these projects can be found here.