Learn R Programming

⚠️There's a newer version (2.01-45) of this package.Take me there.

splancs (version 2.01-9)

Spatial and Space-Time Point Pattern Analysis

Description

Spatial and Space-Time Point Pattern Analysis Functions

Copy Link

Version

Install

install.packages('splancs')

Monthly Downloads

8,835

Version

2.01-9

License

GPL version 2 or newer (see README).

Maintainer

Roger Bivand

Last Published

May 27th, 2024

Functions in splancs (2.01-9)

cardiff

Locations of homes of juvenile offenders
delpoints

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

Generate a Poisson Cluster Process
pdense

Overall density for a point pattern
stvmat

Variance matrix for space-time clustering
kernrat

Ratio of two kernel smoothings
as.points

Creates data in spatial point format
plt

bins nearest neighbour distances
shift

Shift a point data set
southlancs

Cancer cases in Chorley-Ribble
pointmap

Graphics
print.ribfit

Display the fit from tribble()
rlabel

Randomly label two or more point sets
Kenv.csr

Envelope of Khat from simulations of complete spatial randomness
is.points

Point Objects
okwhite

Oklahoma white offenders
khvc

Covariance matrix for the difference between two K-functions
inout

Test points for inclusion in a polygon
rtor.shift

Random toroidal shift on a point data set
Ghat

G nearest neighbour distribution function
secal

Standard errors for the difference between two K-functions
Fhat

F nearest neighbour distribution function
Kenv.label

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

Interactively specify a region of a plot for expansion
kerview

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

Oklahoma black offenders
burkitt

Burkitt's lymphoma in Uganda
polymap

Graphics
tor.shift

Toroidal shift on a point data set
kernel2d

Kernel smoothing of a point pattern
Kenv.tor

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

generate points in polygon
stkhat

Space-time K-functions
addpoints

Add points interactively to a point data set
inpip

Select points inside a polygon
stmctest

Monte-Carlo test of space-time clustering
tribble

Diggle-Rowlingson Raised Incidence Model
khvmat

Covariance matrix for the difference between two K-functions
nndistG

Nearest neighbour distances as used by Ghat()
bbox

Generate a bounding box round a point object
Fzero

Theoretical nearest neighbour distribution function
k12hat

Bivariate K-function
kernel3d

Space-time kernel
mpoint

Overlay a number of point patterns
getpoly

Draw a polygon on the current graphics device
npts

Number of points in data set
csr

Generate completely spatially random points on a polygon
Kenv.pcp

Calculate simulation envelope for a Poisson Cluster Process
dsquare

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

Calculate area of polygon
gridpts

Generate a grid of points
khat

K-function
mse2d

Mean Square Error for a Kernel Smoothing
n2dist

Nearest neighbours for two point patterns
nndistF

Nearest neighbour distances as used by Fhat()
pcp

Fit a Poisson cluster process
pip

Points inside or outside a polygon
bodmin

Bodmin Moors granite tors
ranpts

adjust number of random points in polygon
sbox

Generate a box surrounding a point object
spoints

Point Objects
thin

Randomly thin a point data set
triblik

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

Summary plots for clustering analysis
stsecal

Standard error for space-time clustering
splancs

Return version number and author information
uganda

Craters in Uganda