Measuring Spatial Autocorrelation of Vectors

Yu Liu; Daoqin Tong; Xi Liu

doi:10.1111/gean.12069

Measuring Spatial Autocorrelation of Vectors

Yu Liu, Daoqin Tong, Xi Liu

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	300-319
Number of pages	20
Journal	Geographical Analysis
Volume	47
Issue number	3
DOIs	https://doi.org/10.1111/gean.12069
State	Published - Jul 1 2015
Externally published	Yes

ASJC Scopus subject areas

Geography, Planning and Development
Earth-Surface Processes

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10.1111/gean.12069

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Measuring Spatial Autocorrelation of Vectors

Abstract

ASJC Scopus subject areas

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