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splancs (version 2.01-27)
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
18,356
Version
2.01-27
License
GPL (>= 2)
Maintainer
Roger Bivand
Last Published
June 23rd, 2010
Functions in splancs (2.01-27)
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Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
cardiff
Locations of homes of juvenile offenders
Fhat
F nearest neighbour distribution function
csr
Generate completely spatially random points on a polygon
burkitt
Burkitt's lymphoma in Uganda
print.ribfit
Display the fit from tribble()
tribble
Diggle-Rowlingson Raised Incidence Model
kernrat
Ratio of two kernel smoothings
Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
okwhite
Oklahoma white offenders
getpoly
Draw a polygon on the current graphics device
pcp.sim
Generate a Poisson Cluster Process
Shift
Shift a point data set
pip
Points inside or outside a polygon
inout
Test points for inclusion in a polygon
splancs
Return version number and author information
stmctest
Monte-Carlo test of space-time clustering
southlancs
Cancer cases in Chorley-Ribble
pointmap
Graphics
k12hat
Bivariate K-function
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
stvmat
Variance matrix for space-time clustering
polymap
Graphics
ranpts
adjust number of random points in polygon
uganda
Craters in Uganda
dsquare
Distance-squared from a number of points to a number of sources
thin
Randomly thin a point data set
nndistG
Nearest neighbour distances as used by Ghat()
okblack
Oklahoma black offenders
addpoints
Add points interactively to a point data set
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
kernel2d
Kernel smoothing of a point pattern
gridpts
Generate a grid of points
n2dist
Nearest neighbours for two point patterns
mpoint
Overlay a number of point patterns
pdense
Overall density for a point pattern
npts
Number of points in data set
khvmat
Covariance matrix for the difference between two K-functions
secal
Standard errors for the difference between two K-functions
kernel3d
Space-time kernel
stdiagn
Summary plots for clustering analysis
areapl
Calculate area of polygon
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
Fzero
Theoretical nearest neighbour distribution function
bodmin
Bodmin Moors granite tors
rtor.shift
Random toroidal shift on a point data set
amacrines
Amacrines on/off data set
kerview
A linked-window system for browsing space-time data
gen
generate points in polygon
tor.shift
Toroidal shift on a point data set
triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model
stsecal
Standard error for space-time clustering
as.points
Creates data in spatial point format
is.points
Point Objects
Ghat
G nearest neighbour distribution function
khat
K-function
zoom
Interactively specify a region of a plot for expansion
rLabel
Randomly label two or more point sets
stkhat
Space-time K-functions
khvc
Covariance matrix for the difference between two K-functions
nndistF
Nearest neighbour distances as used by Fhat()
spoints
Point Objects
plt
bins nearest neighbour distances
inpip
Select points inside a polygon
pcp
Fit a Poisson cluster process
delpoints
Select points to delete from a points data set
bboxx
Generate a non-closed bounding polygon
mse2d
Mean Square Error for a Kernel Smoothing
sbox
Generate a box surrounding a point object