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: Eric Marcon, Stéphane Traissac, Florence Puech, Gabriel Lang
Title: Tools to Characterize Point Patterns: dbmss for R
Abstract: The dbmss package for R provides an easy-to-use toolbox to characterize the spatial structure of point patterns. Our contribution presents the state of the art of distance-based methods employed in economic geography and which are also used in ecology. Topographic functions such as Ripley's K, absolute functions such as Duranton and Overman's Kd and relative functions such as Marcon and Puech's M are implemented. Their confidence envelopes (including global ones) and tests against counterfactuals are included in the package.

Page views:: 4816. Submitted: 2012-12-17. Published: 2015-10-07.
Paper: Tools to Characterize Point Patterns: dbmss for R     Download PDF (Downloads: 2290)
dbmss_2.2.3.tar.gz: R source package Download (Downloads: 98; 792KB)
v67c03.R: R replication code Download (Downloads: 157; 1KB)
CSBIGS.Rdata: Supplementary data Download (Downloads: 141; 277KB)

DOI: 10.18637/jss.v067.c03

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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.