Journal
JOURNAL OF STATISTICAL SOFTWARE
Volume 12, Issue 6, Pages 1-42Publisher
JOURNAL STATISTICAL SOFTWARE
DOI: 10.18637/jss.v012.i06
Keywords
conditional intensity; edge corrections; exploratory data analysis; generalised linear models; inhomogeneous point patterns; marked point patterns; maximum pseudolikelihood; spatial clustering
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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.
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