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splancs (version 2.01-36)
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
2.01-36
License
GPL (>= 2)
Maintainer
Roger Bivand
Last Published
October 3rd, 2014
Functions in splancs (2.01-36)
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Fzero
Theoretical nearest neighbour distribution function
bodmin
Bodmin Moors granite tors
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
csr
Generate completely spatially random points on a polygon
cardiff
Locations of homes of juvenile offenders
dsquare
Distance-squared from a number of points to a number of sources
gen
generate points in polygon
kernel3d
Space-time kernel
inout
Test points for inclusion in a polygon
kerview
A linked-window system for browsing space-time data
k12hat
Bivariate K-function
pip
Points inside or outside a polygon
secal
Standard errors for the difference between two K-functions
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
stdiagn
Summary plots for clustering analysis
stvmat
Variance matrix for space-time clustering
Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
Fhat
F nearest neighbour distribution function
npts
Number of points in data set
kernrat
Ratio of two kernel smoothings
kernel2d
Kernel smoothing of a point pattern
delpoints
Select points to delete from a points data set
getpoly
Draw a polygon on the current graphics device
burkitt
Burkitt's lymphoma in Uganda
pcp
Fit a Poisson cluster process
rtor.shift
Random toroidal shift on a point data set
Ghat
G nearest neighbour distribution function
addpoints
Add points interactively to a point data set
amacrines
Amacrines on/off data set
okwhite
Oklahoma white offenders
khat
K-function
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
pdense
Overall density for a point pattern
khvc
Covariance matrix for the difference between two K-functions
is.points
Point Objects
gridpts
Generate a grid of points
pointmap
Graphics
tor.shift
Toroidal shift on a point data set
nndistG
Nearest neighbour distances as used by Ghat()
stsecal
Standard error for space-time clustering
splancs
Return version number and author information
tribble
Diggle-Rowlingson Raised Incidence Model
mpoint
Overlay a number of point patterns
khvmat
Covariance matrix for the difference between two K-functions
pcp.sim
Generate a Poisson Cluster Process
areapl
Calculate area of polygon
mse2d
Mean Square Error for a Kernel Smoothing
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
Shift
Shift a point data set
print.ribfit
Display the fit from tribble()
southlancs
Cancer cases in Chorley-Ribble
okblack
Oklahoma black offenders
plt
bins nearest neighbour distances
inpip
Select points inside a polygon
stkhat
Space-time K-functions
Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
nndistF
Nearest neighbour distances as used by Fhat()
bboxx
Generate a non-closed bounding polygon
stmctest
Monte-Carlo test of space-time clustering
uganda
Craters in Uganda
zoom
Interactively specify a region of a plot for expansion
as.points
Creates data in spatial point format
n2dist
Nearest neighbours for two point patterns
polymap
Graphics
rLabel
Randomly label two or more point sets
triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model