Package: splancs 2.01-45

splancs: Spatial and Space-Time Point Pattern Analysis

The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode".

Authors:Roger Bivand [cre], Barry Rowlingson [aut], Peter Diggle [aut], Giovanni Petris [ctb], Stephen Eglen [ctb]

splancs_2.01-45.tar.gz
splancs_2.01-45.zip(r-4.5)splancs_2.01-45.zip(r-4.4)splancs_2.01-45.zip(r-4.3)
splancs_2.01-45.tgz(r-4.4-x86_64)splancs_2.01-45.tgz(r-4.4-arm64)splancs_2.01-45.tgz(r-4.3-x86_64)splancs_2.01-45.tgz(r-4.3-arm64)
splancs_2.01-45.tar.gz(r-4.5-noble)splancs_2.01-45.tar.gz(r-4.4-noble)
splancs_2.01-45.tgz(r-4.4-emscripten)splancs_2.01-45.tgz(r-4.3-emscripten)
splancs.pdf |splancs.html
splancs/json (API)

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

Peer review:

Bug tracker:https://github.com/rsbivand/splancs/issues

Datasets:

On CRAN:

8.62 score 52 packages 548 scripts 9.7k downloads 33 mentions 64 exports 2 dependencies

Last updated 6 months agofrom:569b5e2fee. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-win-x86_64OKOct 28 2024
R-4.5-linux-x86_64OKOct 28 2024
R-4.4-win-x86_64OKOct 28 2024
R-4.4-mac-x86_64OKOct 28 2024
R-4.4-mac-aarch64OKOct 28 2024
R-4.3-win-x86_64OKOct 28 2024
R-4.3-mac-x86_64OKOct 28 2024
R-4.3-mac-aarch64OKOct 28 2024

Exports:addpointsareaplas.pointsbboxxcsrdelpointsdsquareFhatFzerogengetpolyGhatgridptsinoutinpipis.pointsk12hatKenv.csrKenv.labelKenv.pcpKenv.torKenv.tor1kernel2dkernel3dkernratkerviewkhatkhvckhvmatmpointmse2dn2distnndistFnndistGnptspcppcp.simpdensepipplot.khatpltpointmappolymapprint.khatprint.ribfitranptsrLabelrtor.shiftsboxsecalShiftspkernel2dsplancsspointsstdiagnstkhatstmcteststsecalstvmatthintor.shifttribbletriblikzoom

Dependencies:latticesp

Readme and manuals

Help Manual

Help pageTopics
Add points interactively to a point data setaddpoints
Amacrines on/off data setamacrines.off amacrines.on
Calculate area of polygonareapl
Creates data in spatial point formatas.points
Generate a non-closed bounding polygonbboxx
Bodmin Moors granite torsbodmin
Burkitt's lymphoma in Ugandaburbdy burkitt burpts
Locations of homes of juvenile offenderscardiff
Generate completely spatially random points on a polygoncsr
Select points to delete from a points data setdelpoints
Distance-squared from a number of points to a number of sourcesdsquare
F nearest neighbour distribution functionFhat
Theoretical nearest neighbour distribution functionFzero
generate points in polygongen
Draw a polygon on the current graphics devicegetpoly
G nearest neighbour distribution functionGhat
Generate a grid of pointsgridpts
Test points for inclusion in a polygoninout
Select points inside a polygoninpip
Point Objectsis.points
Bivariate K-functionk12hat
Envelope of Khat from simulations of complete spatial randomnessKenv.csr
Envelope of K1hat-K2hat from random labelling of two point patternsKenv.label
Calculate simulation envelope for a Poisson Cluster ProcessKenv.pcp
Envelope of K12hat from random toroidal shifts of two point patternsKenv.tor
Modified envelope of K12hat from random toroidal shifts of two point patternsKenv.tor1
Kernel smoothing of a point patternkernel2d spkernel2d
Space-time kernelkernel3d
Ratio of two kernel smoothingskernrat
A linked-window system for browsing space-time datakerview
K-functionkhat plot.khat print.khat
Covariance matrix for the difference between two K-functionskhvc
Covariance matrix for the difference between two K-functionskhvmat
Overlay a number of point patternsmpoint
Mean Square Error for a Kernel Smoothingmse2d
Nearest neighbours for two point patternsn2dist
Nearest neighbour distances as used by Fhat()nndistF
Nearest neighbour distances as used by Ghat()nndistG
Number of points in data setnpts
Oklahoma black offendersokblack
Oklahoma white offendersokwhite
Fit a Poisson cluster processpcp
Generate a Poisson Cluster Processpcp.sim
Overall density for a point patternpdense
Points inside or outside a polygonpip
bins nearest neighbour distancesplt
Graphicspointmap
Graphicspolymap
Display the fit from tribble()print.ribfit
adjust number of random points in polygonranpts
Randomly label two or more point setsrLabel
Random toroidal shift on a point data setrtor.shift
Generate a box surrounding a point objectsbox
Standard errors for the difference between two K-functionssecal
Shift a point data setShift
Cancer cases in Chorley-Ribbleold.incinerator southlancs southlancs.bdy southlancs.cc southlancs.pts
Return version number and author informationsplancs
Point Objectsspoints
Summary plots for clustering analysisstdiagn
Space-time K-functionsstkhat
Monte-Carlo test of space-time clusteringstmctest
Standard error for space-time clusteringstsecal
Variance matrix for space-time clusteringstvmat
Randomly thin a point data setthin
Toroidal shift on a point data settor.shift
Diggle-Rowlingson Raised Incidence Modeltribble
Log-likelihood for the Diggle-Rowlingson raised incidence modeltriblik
Craters in Ugandauganda
Interactively specify a region of a plot for expansionzoom