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splancs (version 2.01-9)
Spatial and Space-Time Point Pattern Analysis
Description
Spatial and Space-Time Point Pattern Analysis Functions
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Install
install.packages('splancs')
Monthly Downloads
8,835
Version
2.01-9
License
GPL version 2 or newer (see README).
Homepage
http://www.r-project.org
Maintainer
Roger Bivand
Last Published
May 27th, 2024
Functions in splancs (2.01-9)
Search all functions
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