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spatstat: An R package for analyzing spatial point patterns
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DOI：10.18637/jss.v012.i06.png)
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摘要
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spatstat is a package for analyzing spatial point pattern data. Its functionality includes exploratory data analysis, model-fitting, and simulation. It is designed to handle realistic datasets, including inhomogeneous point patterns, spatial sampling regions of arbitrary shape, extra covariate data, and `marks' attached to the points of the point pattern. A unique feature of spatstat is its generic algorithm for fitting point process models to point pattern data. The interface to this algorithm is a function ppm that is strongly analogous to lm and glm. This paper is a general description of spatstat and an introduction for new users.
Keyword:
conditional intensity
edge corrections
exploratory data analysis
generalised linear models
inhomogeneous point patterns
marked point patterns
maximum pseudolikelihood
spatial clustering
