Tools to Characterize Point Patterns: dbmss for R

Tools to Characterize Point Patterns: dbmss for R

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,...

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Bibliographic Details
Main Authors: Eric Marcon, Stéphane Traissac, Florence Puech, Gabriel Lang
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2015-10-01
Series:Journal of Statistical Software
Subjects:
point patterns
spatial structure
R
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2386
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spelling doaj-e522adef25de4dadbb369bcbab5b17272020-11-24T22:33:49ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602015-10-0167111510.18637/jss.v067.c03943Tools to Characterize Point Patterns: dbmss for REric MarconStéphane TraissacFlorence PuechGabriel LangThe 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.https://www.jstatsoft.org/index.php/jss/article/view/2386point patternsspatial structureR
collection DOAJ
language English
format Article
sources DOAJ
author Eric Marcon
Stéphane Traissac
Florence Puech
Gabriel Lang
spellingShingle Eric Marcon
Stéphane Traissac
Florence Puech
Gabriel Lang
Tools to Characterize Point Patterns: dbmss for R
Journal of Statistical Software
point patterns
spatial structure
R
author_facet Eric Marcon
Stéphane Traissac
Florence Puech
Gabriel Lang
author_sort Eric Marcon
title Tools to Characterize Point Patterns: dbmss for R
title_short Tools to Characterize Point Patterns: dbmss for R
title_full Tools to Characterize Point Patterns: dbmss for R
title_fullStr Tools to Characterize Point Patterns: dbmss for R
title_full_unstemmed Tools to Characterize Point Patterns: dbmss for R
title_sort tools to characterize point patterns: dbmss for r
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2015-10-01
description 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.
topic point patterns
spatial structure
R
url https://www.jstatsoft.org/index.php/jss/article/view/2386
work_keys_str_mv AT ericmarcon toolstocharacterizepointpatternsdbmssforr
AT stephanetraissac toolstocharacterizepointpatternsdbmssforr
AT florencepuech toolstocharacterizepointpatternsdbmssforr
AT gabriellang toolstocharacterizepointpatternsdbmssforr
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