This paper presents an overview of GeoDa, a free software program intended to serve as a user-friendly and graphical introduction to spatial analysis for non-GIS specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of GeoDa is an interactive environmen...

GeoDa Center for Geospatial Analysis and Computation, School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-5302, United States b Institute of Oceanographic Instrument, Shandong Academy of Sciences, Qingdao, Shandong 266001, China Department of Geography, National University of Singapore, 117570, Singapore Department of Geography, University of California...

An efficient measure of compactness for two-dimensional shapes and its application in regionalization problems Wenwen Li a , Michael F. Goodchild b & Richard Church b a School of Geographical Sciences and Urban Planning, GeoDa Center for Geospatial Analysis and Computation , Arizona State University , Tempe , AZ , USA b Department of Geography , University of California , Santa Barbara , CA , U...

Towards geospatial semantic search: exploiting latent semantic relations in geospatial data Wenwen Li a , Michael F. Goodchild b & Robert Raskin c a GeoDa Center for Geospatial Analysis and Computation, School of Geographical Science and Urban Planning, Arizona State University, Tempe, AZ, USA b Center for Spatial Studies (Spatial@UCSB), University of California, Santa Barbara, CA, USA c NASA J...

Methods Data was obtained from the sentinel surveillance of illness like influenza (ILI) in Yunnan Center of Disease Control and Prevention from 2009 to 2013. The characteristics of the ILI clustering will be assessed by ‘Global’ and ‘Local’ Moran’s I using Monte Carlo simulation by GeoDa. The spatial weights methods based on Queencontiguity (polygons are adjacent if they share a border or corn...

This study tries to use the Spatial concept by analyzing observed spatial patterns and autocorrelation, as well evaluating modeling of each region in 60 districts/cities five Southern Sumatra Provinces. research used Geoda. Geoda will then provide a description condition percentage GRDP presented Moran I statistics, LISA Clusterd Map 2015-2019.
 The results this are expected show relations...

The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the One Data book. Some KMSD data contain location information which is referred to as spatial data. However, problem faced by Diskominfo limited Human Resources both producers (OPD) in exploring sectoral involving presenting it a map. purpose of this activity provide training exploratory analysis for ...