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Implementing spatial data analysis software tools in R
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DOI：10.1111/j.0016-7363.2005.00672.x.png)
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Abstract
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This article reports on work in progress on the implementation of functions for spatial statistical analysis, in particular of lattice/area data in the R language environment. The underlying spatial weights matrix classes, as well as methods for deriving them from data from commonly used geographical information systems are presented, hindled using other contributed R packages. Since the initial release of some functions in 200 7, and the release of the spdep package in 2002, experience has been gained in the use of various functions. The topics covered are the ingestion of positional data, exploratory data analysis of positional, attribute, and neighborhood data, and hypothesis testing of autocorrelation for univiriate data. It also provides information about community building in using R for analyzing spatial data.
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