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splancs (version 2.01-21)

Spatial and Space-Time Point Pattern Analysis

Description

Spatial and Space-Time Point Pattern Analysis Functions

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Version

Install

install.packages('splancs')

Monthly Downloads

18,356

Version

2.01-21

License

GPL version 2 or newer (see README).

Maintainer

Roger Bivand

Last Published

May 27th, 2024

Functions in splancs (2.01-21)

Kenv.tor

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

Amacrines on/off data set
Fzero

Theoretical nearest neighbour distribution function
is.points

Point Objects
as.points

Creates data in spatial point format
delpoints

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

Envelope of Khat from simulations of complete spatial randomness
Ghat

G nearest neighbour distribution function
bodmin

Bodmin Moors granite tors
gen

generate points in polygon
burkitt

Burkitt's lymphoma in Uganda
pcp.sim

Generate a Poisson Cluster Process
addpoints

Add points interactively to a point data set
mpoint

Overlay a number of point patterns
plt

bins nearest neighbour distances
ranpts

adjust number of random points in polygon
khvc

Covariance matrix for the difference between two K-functions
sbox

Generate a box surrounding a point object
csr

Generate completely spatially random points on a polygon
kernel3d

Space-time kernel
mse2d

Mean Square Error for a Kernel Smoothing
inpip

Select points inside a polygon
southlancs

Cancer cases in Chorley-Ribble
spoints

Point Objects
zoom

Interactively specify a region of a plot for expansion
pdense

Overall density for a point pattern
polymap

Graphics
kerview

A linked-window system for browsing space-time data
k12hat

Bivariate K-function
tor.shift

Toroidal shift on a point data set
triblik

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

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

Summary plots for clustering analysis
splancs

Return version number and author information
stvmat

Variance matrix for space-time clustering
kernel2d

Kernel smoothing of a point pattern
cardiff

Locations of homes of juvenile offenders
print.ribfit

Display the fit from tribble()
Kenv.label

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

Monte-Carlo test of space-time clustering
inout

Test points for inclusion in a polygon
getpoly

Draw a polygon on the current graphics device
kernrat

Ratio of two kernel smoothings
thin

Randomly thin a point data set
tribble

Diggle-Rowlingson Raised Incidence Model
rtor.shift

Random toroidal shift on a point data set
npts

Number of points in data set
stsecal

Standard error for space-time clustering
okwhite

Oklahoma white offenders
Fhat

F nearest neighbour distribution function
Kenv.pcp

Calculate simulation envelope for a Poisson Cluster Process
pcp

Fit a Poisson cluster process
nndistG

Nearest neighbour distances as used by Ghat()
Shift

Shift a point data set
uganda

Craters in Uganda
areapl

Calculate area of polygon
khat

K-function
Kenv.tor1

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

Randomly label two or more point sets
n2dist

Nearest neighbours for two point patterns
khvmat

Covariance matrix for the difference between two K-functions
okblack

Oklahoma black offenders
secal

Standard errors for the difference between two K-functions
pip

Points inside or outside a polygon
gridpts

Generate a grid of points
stkhat

Space-time K-functions
bboxx

Generate a non-closed bounding polygon
nndistF

Nearest neighbour distances as used by Fhat()
pointmap

Graphics