Package: dbmss 2.9-2.9001

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]

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dbmss.pdf |dbmss.html✨
dbmss/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • paracou16 - Paracou field station plot 16, partial map

On CRAN:

concentrationeconomic-geographyspatial-structuresspecialization

6.43 score 9 stars 1 packages 40 scripts 822 downloads 38 exports 47 dependencies

Last updated 15 days agofrom:81ec4e321a. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-win-x86_64OKNov 08 2024
R-4.5-linux-x86_64OKNov 08 2024
R-4.4-win-x86_64OKNov 08 2024
R-4.4-mac-x86_64OKNov 08 2024
R-4.4-mac-aarch64OKNov 08 2024
R-4.3-win-x86_64OKNov 08 2024
R-4.3-mac-x86_64OKNov 08 2024
R-4.3-mac-aarch64OKNov 08 2024

Exports:as.Dtableas.wmpppautoplotDEnvelopeDhatDtableenvelope.DtableFillEnvelopegEnvelopeghatGlobalEnvelopeGoFtestis.wmpppKdEnvelopeKdhatKEnvelopeKhatKinhomEnvelopeKinhomhatKmmEnvelopeKmmhatKtestLEnvelopeLhatLmmEnvelopeLmmhatmarksmEnvelopeMEnvelopemhatMhatrPopulationIndependenceKrPopulationIndependenceMrRandomLabelingrRandomLabelingMrRandomLocationrRandomPositionKwmppp

Dependencies:abindclicolorspacecubaturedeldirfansifarverggplot2gluegoftestgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpolyclipR6RColorBrewerRcppRcppParallelreshape2rlangscalesspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrtensortibbleutf8vctrsviridisLitewithr

dbmss

Rendered fromdbmss.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2024-08-21
Started: 2018-11-28

Readme and manuals

Help Manual

Help pageTopics
Distance Based Measures of Spatial Structuresdbmss-package dbmss
Converts data to class Dtableas.Dtable as.Dtable.data.frame as.Dtable.ppp
Converts data to class wmpppas.wmppp as.wmppp.data.frame as.wmppp.ppp
ggplot methods to plot dbmss objectsautoplot.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 hypothesisDEnvelope
Estimation of the D functionDhat
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 hypothesisgEnvelope
Estimation of the g functionghat
Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesisGoFtest
Test whether an object is a weighted, marked, planar point patternis.wmppp
Estimation of the confidence envelope of the Kd function under its null hypothesisKdEnvelope
Estimation of the Kd functionKdhat
Estimation of the confidence envelope of the K function under its null hypothesisKEnvelope
Estimation of the K functionKhat
Estimation of the confidence envelope of the Kinhom function under its null hypothesisKinhomEnvelope
Estimation of the inhomogenous K functionKinhomhat
Estimation of the confidence envelope of the Lmm function under its null hypothesisKmmEnvelope
Estimation of the Kmm functionKmmhat
Test of a point pattern against Complete Spatial RandomnessKtest
Estimation of the confidence envelope of the L function under its null hypothesisLEnvelope
Estimation of the L functionLhat
Estimation of the confidence envelope of the Lmm function under its null hypothesisLmmEnvelope
Estimation of the Lmm functionLmmhat
marks method for Dtable and wmppp objectsmarks.Dtable marks<-.Dtable marks<-.wmppp
Estimation of the confidence envelope of the m function under its null hypothesismEnvelope
Estimation of the confidence envelope of the M function under its null hypothesisMEnvelope
Estimation of the m functionmhat
Estimation of the M functionMhat
Paracou field station plot 16, partial mapparacou16
Print a confidence envelopeprint.dbmssEnvelope
Simulations of a point pattern according to the null hypothesis of population independence defined for KrPopulationIndependenceK
Simulations of a point pattern according to the null hypothesis of population independence defined for MrPopulationIndependenceM
Simulations of a point pattern according to the null hypothesis of random labelingrRandomLabeling
Simulations of a point pattern according to the null hypothesis of random labelling defined for MrRandomLabelingM
Simulations of a point pattern according to the null hypothesis of random locationrRandomLocation
Simulations of a point pattern according to the null hypothesis of random position defined for KrRandomPositionK
Spatial smoothing of individual dbmss'sSmooth.wmppp
Methods for weighted, marked planar point patterns (of class wmppp) from spatstatsharpen.wmppp superimpose.wmppp unique.wmppp [.wmppp
Summary of a confidence envelopesummary.dbmssEnvelope
Create a Weighted, Marked, Planar Point Patternwmppp
Class of Weighted, Marked, Planar Point Patternswmppp.object