Package: dbmss 2.11-0

dbmss: Distance-Based Measures of Spatial Structures

Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.

Authors:Eric Marcon [aut, cre], Gabriel Lang [aut], Stephane Traissac [aut], Florence Puech [aut], Pierrot Froment [aut]

dbmss_2.11-0.tar.gz
dbmss_2.11-0.zip(r-4.7-x86_64)dbmss_2.11-0.zip(r-4.7-arm64)dbmss_2.11-0.zip(r-4.6-x86_64)dbmss_2.11-0.zip(r-4.6-arm64)dbmss_2.11-0.zip(r-4.5-x86_64)
dbmss_2.11-0.tgz(r-4.6-x86_64)dbmss_2.11-0.tgz(r-4.6-arm64)dbmss_2.11-0.tgz(r-4.5-x86_64)dbmss_2.11-0.tgz(r-4.5-arm64)
dbmss_2.11-0.tar.gz(r-4.7-arm64)dbmss_2.11-0.tar.gz(r-4.7-x86_64)dbmss_2.11-0.tar.gz(r-4.6-arm64)dbmss_2.11-0.tar.gz(r-4.6-x86_64)
dbmss_2.11-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dbmss/json (API)

# Install 'dbmss' in R:

install.packages('dbmss', repos = c('https://ericmarcon.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ericmarcon/dbmss/issues

Pkgdown/docs site:https://ericmarcon.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

paracou16 - Paracou field station plot 16, partial map

On CRAN:

concentration economic-geography spatial-structures specialization cpp

6.82 score 9 stars 5 packages 49 scripts 930 downloads 38 exports 55 dependencies

Last updated from:519af3e426. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	194
linux-devel-x86_64	OK	225
source / vignettes	OK	234
linux-release-arm64	OK	179
linux-release-x86_64	OK	193
macos-release-arm64	OK	174
macos-release-x86_64	OK	339
macos-oldrel-arm64	OK	160
macos-oldrel-x86_64	OK	362
windows-devel-arm64	OK	341
windows-devel-x86_64	OK	210
windows-release-arm64	OK	258
windows-release-x86_64	OK	163
windows-oldrel-x86_64	OK	162
wasm-release	OK	116

Exports:as.Dtable as.wmppp autoplot DEnvelope Dhat Dtable envelope.Dtable FillEnvelope gEnvelope ghat GlobalEnvelope GoFtest is.wmppp KdEnvelope Kdhat KEnvelope Khat KinhomEnvelope Kinhomhat KmmEnvelope Kmmhat Ktest LEnvelope Lhat LmmEnvelope Lmmhat marks mEnvelope MEnvelope mhat Mhat rPopulationIndependenceK rPopulationIndependenceM rRandomLabeling rRandomLabelingM rRandomLocation rRandomPositionK wmppp

Dependencies:abind cli codetools cpp11 cubature deldir digest doFuture farver foreach future future.apply ggplot2 globals glue goftest gtable isoband iterators labeling lattice lifecycle listenv magrittr Matrix nlme parallelly pillar pkgconfig plyr polyclip progressr R6 RColorBrewer Rcpp RcppParallel reshape2 rlang S7 scales spatstat.data spatstat.explore spatstat.geom spatstat.random spatstat.sparse spatstat.univar spatstat.utils stringi stringr tensor tibble utf8 vctrs viridisLite withr

dbmss

Data | Main functions | Confidence envelopes | Maps | Full documentation

Rendered fromdbmss.Rmdusingknitr::rmarkdown

Last update: 2025-05-28
Started: 2018-11-28

Help page	Topics
Distance Based Measures of Spatial Structures	dbmss-package dbmss
Converts data to class Dtable	as.Dtable as.Dtable.data.frame as.Dtable.ppp
Converts data to class wmppp	as.wmppp as.wmppp.data.frame as.wmppp.ppp
ggplot methods to plot dbmss objects	autoplot.envelope autoplot.fv autoplot.wmppp
Class of envelope of function values (fv)	dbmssEnvelope.object
Estimation of the confidence envelope of the D function under its null hypothesis	DEnvelope
Estimation of the D function	Dhat
Create a Distance table object.	Dtable
Computes simulation envelopes of a summary function.	envelope.Dtable
Estimation of the confidence envelope of the g function under its null hypothesis	gEnvelope
Estimation of the g function	ghat
Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis	GoFtest
Test whether an object is a weighted, marked, planar point pattern	is.wmppp
Estimation of the confidence envelope of the Kd function under its null hypothesis	KdEnvelope
Estimation of the Kd function	Kdhat
Estimation of the confidence envelope of the K function under its null hypothesis	KEnvelope
Estimation of the K function	Khat
Estimation of the confidence envelope of the Kinhom function under its null hypothesis	KinhomEnvelope
Estimation of the inhomogenous K function	Kinhomhat
Estimation of the confidence envelope of the Lmm function under its null hypothesis	KmmEnvelope
Estimation of the Kmm function	Kmmhat
Test of a point pattern against Complete Spatial Randomness	Ktest
Estimation of the confidence envelope of the L function under its null hypothesis	LEnvelope
Estimation of the L function	Lhat
Estimation of the confidence envelope of the Lmm function under its null hypothesis	LmmEnvelope
Estimation of the Lmm function	Lmmhat
marks method for Dtable and wmppp objects	marks.Dtable marks<-.Dtable marks<-.wmppp
Estimation of the confidence envelope of the m function under its null hypothesis	mEnvelope
Estimation of the confidence envelope of the M function under its null hypothesis	MEnvelope
Estimation of the m function	mhat
Estimation of the M function	Mhat
Paracou field station plot 16, partial map	paracou16
Print a confidence envelope	print.dbmssEnvelope
Simulations of a point pattern according to the null hypothesis of population independence defined for K	rPopulationIndependenceK
Simulations of a point pattern according to the null hypothesis of population independence defined for M	rPopulationIndependenceM
Simulations of a point pattern according to the null hypothesis of random labeling	rRandomLabeling
Simulations of a point pattern according to the null hypothesis of random labelling defined for M	rRandomLabelingM
Simulations of a point pattern according to the null hypothesis of random location	rRandomLocation
Simulations of a point pattern according to the null hypothesis of random position defined for K	rRandomPositionK
Spatial smoothing of individual dbmss's	Smooth.wmppp
Methods for weighted, marked planar point patterns (of class wmppp) from spatstat	sharpen.wmppp superimpose.wmppp unique.wmppp [.wmppp
Summary of a confidence envelope	summary.dbmssEnvelope
Create a Weighted, Marked, Planar Point Pattern	wmppp
Class of Weighted, Marked, Planar Point Patterns	wmppp.object

Package: dbmss 2.11-0

dbmss: Distance-Based Measures of Spatial Structures

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)