Local indicators of spatial association - LISA

L. Anselin

Research output: Contribution to journalArticle

4142 Citations (Scopus)

Abstract

The capabilities for visualization, rapid data retrieval, and manipulation in geographic informations systems (GIS) have created the need for new techniques of exploratory data analysis that focus on the "spatial' aspect of the data. The identification of local patterns of spatial association is an important concern in this respect. The author outlines a new general class of local indicators of spatial association (LISA) and show how they allow for the decomposition of global indicators. The LISA statistics serve two purposes. On one hand, they may be interpreted as indicators of local pockets of nonstationarity, or hot spots. On the other hand, they may be used to assess the influence of individual locations on the magnitude of the global statistic and to identify "outliers'. An initial evaluation of the properites of a LISA statistic is carried out for a local Moran, which is applied in a study of the spatial pattern of conflict for African countries and in a number of Monte Carlo simulations. -from Author

Original languageEnglish (US)
Pages (from-to)93-115
Number of pages23
JournalGeographical Analysis
Volume27
Issue number2
StatePublished - 1995
Externally publishedYes

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statistics
outlier
visualization
manipulation
information system
data analysis
indicator
decomposition
simulation
evaluation
geographic information system
need
conflict

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

Local indicators of spatial association - LISA. / Anselin, L.

In: Geographical Analysis, Vol. 27, No. 2, 1995, p. 93-115.

Research output: Contribution to journalArticle

Anselin, L 1995, 'Local indicators of spatial association - LISA', Geographical Analysis, vol. 27, no. 2, pp. 93-115.
Anselin, L. / Local indicators of spatial association - LISA. In: Geographical Analysis. 1995 ; Vol. 27, No. 2. pp. 93-115.
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