Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Adrian Baddeley, Rolf Turner
Title: spatstat: An R Package for Analyzing Spatial Point Patterns
Abstract: 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.

Page views:: 30013. Submitted: 2004-11-10. Published: 2005-01-26.
Paper: spatstat: An R Package for Analyzing Spatial Point Patterns     Download PDF (Downloads: 22424)
DOI: 10.18637/jss.v012.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.