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splancs (version 2.01-29)
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
2.01-29
License
GPL (>= 2)
Maintainer
Roger Bivand
Last Published
August 20th, 2011
Functions in splancs (2.01-29)
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Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
nndistF
Nearest neighbour distances as used by Fhat()
southlancs
Cancer cases in Chorley-Ribble
Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
nndistG
Nearest neighbour distances as used by Ghat()
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
thin
Randomly thin a point data set
ranpts
adjust number of random points in polygon
addpoints
Add points interactively to a point data set
getpoly
Draw a polygon on the current graphics device
gen
generate points in polygon
mse2d
Mean Square Error for a Kernel Smoothing
Fhat
F nearest neighbour distribution function
zoom
Interactively specify a region of a plot for expansion
pcp
Fit a Poisson cluster process
dsquare
Distance-squared from a number of points to a number of sources
Ghat
G nearest neighbour distribution function
kernrat
Ratio of two kernel smoothings
bboxx
Generate a non-closed bounding polygon
plt
bins nearest neighbour distances
Fzero
Theoretical nearest neighbour distribution function
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
amacrines
Amacrines on/off data set
areapl
Calculate area of polygon
stvmat
Variance matrix for space-time clustering
inout
Test points for inclusion in a polygon
tribble
Diggle-Rowlingson Raised Incidence Model
spoints
Point Objects
as.points
Creates data in spatial point format
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
stmctest
Monte-Carlo test of space-time clustering
triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model
pointmap
Graphics
pcp.sim
Generate a Poisson Cluster Process
rLabel
Randomly label two or more point sets
npts
Number of points in data set
n2dist
Nearest neighbours for two point patterns
stkhat
Space-time K-functions
rtor.shift
Random toroidal shift on a point data set
sbox
Generate a box surrounding a point object
print.ribfit
Display the fit from tribble()
tor.shift
Toroidal shift on a point data set
csr
Generate completely spatially random points on a polygon
inpip
Select points inside a polygon
okwhite
Oklahoma white offenders
stsecal
Standard error for space-time clustering
polymap
Graphics
splancs
Return version number and author information
is.points
Point Objects
khat
K-function
mpoint
Overlay a number of point patterns
khvc
Covariance matrix for the difference between two K-functions
kernel2d
Kernel smoothing of a point pattern
pdense
Overall density for a point pattern
stdiagn
Summary plots for clustering analysis
burkitt
Burkitt's lymphoma in Uganda
delpoints
Select points to delete from a points data set
Shift
Shift a point data set
kerview
A linked-window system for browsing space-time data
cardiff
Locations of homes of juvenile offenders
bodmin
Bodmin Moors granite tors
kernel3d
Space-time kernel
pip
Points inside or outside a polygon
secal
Standard errors for the difference between two K-functions
gridpts
Generate a grid of points
k12hat
Bivariate K-function
khvmat
Covariance matrix for the difference between two K-functions
okblack
Oklahoma black offenders
uganda
Craters in Uganda