Description

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

Schedule

会议日程:

12月12-13日 培训讲座

12月14日 大会报告

研讨会地点:武汉大学信息学部图书馆四楼报告厅

Shop

Registration

Registration Only(No Lecture)

For attendees do not attendee lecture.

Registration fee

参加培训讲座的费用为1000元人民币;只参加大会报告参会人员免交注册费;

Hotel

No.87 Luoyu Road Wuhan China | 590m from metro station (Jiedaokou)

CNY450.00

Book it

Message

Leave a message

Refresh

    Contact information

    • 邵远征
    • gcss2019@whu.edu.cn
    • +86 186 0272 3046
    • 027 8786 8562
    • 方凡
    • gcss2019@whu.edu.cn
    • 027 6877 9126

    Sponsored By

    • 武汉大学遥感信息工程学院
      武汉大学人文社会科学研究院

    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