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Introduction

Workshop on Recent Developments in Local Spatial Cluster Detection

Luc Anselin

Center for Spatial Data Science

University of Chicago

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.

Day 1: 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

Day 2: 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

 

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Important Date
  • Conference Date

    Dec 12

    2019

    to

    Dec 14

    2019

  • Dec 14 2019

    Registration deadline

Organized By
武汉大学社会地理计算联合研究中心
武汉大学大数据研究院
地球空间信息技术协同创新中心
武汉大学测绘遥感信息工程国家重点实验室
武汉企泰艾会科技有限公司
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