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splancs (version 2.01-44)

Spatial and Space-Time Point Pattern Analysis

Description

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".

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Version

Install

install.packages('splancs')

Monthly Downloads

8,835

Version

2.01-44

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

1

Forks

0

Maintainer

Roger Bivand

Last Published

August 21st, 2023

Functions in splancs (2.01-44)

bboxx

Generate a non-closed bounding polygon
kernrat

Ratio of two kernel smoothings
inout

Test points for inclusion in a polygon
inpip

Select points inside a polygon
mpoint

Overlay a number of point patterns
khvmat

Covariance matrix for the difference between two K-functions
npts

Number of points in data set
okblack

Oklahoma black offenders
pdense

Overall density for a point pattern
kerview

A linked-window system for browsing space-time data
getpoly

Draw a polygon on the current graphics device
mse2d

Mean Square Error for a Kernel Smoothing
gridpts

Generate a grid of points
n2dist

Nearest neighbours for two point patterns
pcp.sim

Generate a Poisson Cluster Process
pointmap

Graphics
sbox

Generate a box surrounding a point object
as.points

Creates data in spatial point format
khvc

Covariance matrix for the difference between two K-functions
kernel2d

Kernel smoothing of a point pattern
khat

K-function
pip

Points inside or outside a polygon
kernel3d

Space-time kernel
pcp

Fit a Poisson cluster process
secal

Standard errors for the difference between two K-functions
Shift

Shift a point data set
polymap

Graphics
stdiagn

Summary plots for clustering analysis
okwhite

Oklahoma white offenders
triblik

Log-likelihood for the Diggle-Rowlingson raised incidence model
rLabel

Randomly label two or more point sets
stkhat

Space-time K-functions
plt

bins nearest neighbour distances
rtor.shift

Random toroidal shift on a point data set
stmctest

Monte-Carlo test of space-time clustering
ranpts

adjust number of random points in polygon
tribble

Diggle-Rowlingson Raised Incidence Model
tor.shift

Toroidal shift on a point data set
uganda

Craters in Uganda
is.points

Point Objects
nndistF

Nearest neighbour distances as used by Fhat()
k12hat

Bivariate K-function
stsecal

Standard error for space-time clustering
print.ribfit

Display the fit from tribble()
thin

Randomly thin a point data set
splancs

Return version number and author information
spoints

Point Objects
nndistG

Nearest neighbour distances as used by Ghat()
zoom

Interactively specify a region of a plot for expansion
southlancs

Cancer cases in Chorley-Ribble
stvmat

Variance matrix for space-time clustering
Kenv.tor

Envelope of K12hat from random toroidal shifts of two point patterns
burkitt

Burkitt's lymphoma in Uganda
gen

generate points in polygon
amacrines

Amacrines on/off data set
Fzero

Theoretical nearest neighbour distribution function
Kenv.label

Envelope of K1hat-K2hat from random labelling of two point patterns
areapl

Calculate area of polygon
Kenv.csr

Envelope of Khat from simulations of complete spatial randomness
addpoints

Add points interactively to a point data set
Fhat

F nearest neighbour distribution function
Kenv.tor1

Modified envelope of K12hat from random toroidal shifts of two point patterns
delpoints

Select points to delete from a points data set
Kenv.pcp

Calculate simulation envelope for a Poisson Cluster Process
cardiff

Locations of homes of juvenile offenders
csr

Generate completely spatially random points on a polygon
dsquare

Distance-squared from a number of points to a number of sources
bodmin

Bodmin Moors granite tors
Ghat

G nearest neighbour distribution function