Recent Developments in Local Spatial Cluster Detection
Wuhan, China
2019-12-13
The Training Workshop on “Recent Developments in Local Spatial Cluster Detection”
by
Luc Anselin
Director, Center for Spatial Data Science，University of Chicago
Wuhan University，December 12-13, 2019
The concept of a Local Indicator of Spatial Association (LISA) has been around for more than 20 years and has seen many refinements since its initial introduction. In this workshop, the fundamental idea behind this statistic is reviewed and a number of recent univariate and multivariate extensions are outlined. The methods are illustrated through their implementation in the latest version of the open source GeoDa software and data case studies with software (Knime and R AnalyticFlow) for workflow data analysis.
Dec 12, 2019：Univariate Analysis
· The many faces of spatial clusters
· LISA principle
· Local Moran and local Geary
· Getis-Ord statistics
· Local join count statistics
· Quantile LISA
· Interpretation
Dec 13, 2019，Multivariate Analysis
· The multivariate problem
· Spatializing classic multidimensional analysis
· Multivariate local Geary
· Multivariate local co-location statistics
· Multivariate Quantile LISA
· Future directions
Contact:
yshao@whu.edu.cn