Comparing implementations of global and local indicators of spatial associationRoger Bivand, David W. S. Wong2018-07-27articleTest1,136 citationsgreenNo readable copy stored yet — this record is metadata only.Spatial and Panel Data AnalysisRegional Economic and Spatial AnalysisPoint processes and geometric inequalitiesAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 1,136 citations exist upstream.References1995Local Indicators of Spatial Association—LISA1992The Analysis of Spatial Association by Use of Distance Statistics1993Statistics for Spatial Data.1995Local Spatial Autocorrelation Statistics: Distributional Issues and an Application1981Spatial statistics2005GeoDa : An Introduction to Spatial Data Analysis1981Spatial Statistics1954The Contiguity Ratio and Statistical MappingCited by2022R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data2021The performance of green innovation: From an efficiency perspective2020Quantitative identification and evolution trend simulation of shrinking cities at the county scale, China2019Prefecture-level city shrinkage on the regional dimension in China: Spatiotemporal change and internal relations2019Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis2022Optimal location of bike-sharing stations: A built environment and accessibility approach2021COVID-19 Vaccine Rollouts and the Reproduction of Urban Spatial Inequality: Disparities Within Large U.S. Cities in March and April 2021 by Racial/Ethnic and Socioeconomic Composition2022Evaluation and Obstacle Analysis of Emergency Response Capability in China