Measuring Spatial Autocorrelation of Vectors

Yu Liu, Daoqin Tong, Xi Liu

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


This article introduces measures to quantify spatial autocorrelation for vectors. In contrast to scalar variables, spatial autocorrelation for vectors involves an assessment of both direction and magnitude in space. Extending conventional approaches, measures of global and local spatial associations for vectors are proposed, and the associated statistical properties and significance testing are discussed. The new measures are applied to study the spatial association of taxi movements in the city of Shanghai. Complications due to the edge effect are also examined.

Original languageEnglish (US)
Pages (from-to)300-319
Number of pages20
JournalGeographical Analysis
Issue number3
StatePublished - Jul 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes


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