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splancs (version 2.01-31)
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
8,555
Version
2.01-31
License
GPL (>= 2)
Maintainer
Roger Bivand
Last Published
January 22nd, 2012
Functions in splancs (2.01-31)
Search functions
Fzero
Theoretical nearest neighbour distribution function
npts
Number of points in data set
pointmap
Graphics
n2dist
Nearest neighbours for two point patterns
spoints
Point Objects
Ghat
G nearest neighbour distribution function
print.ribfit
Display the fit from tribble()
addpoints
Add points interactively to a point data set
inout
Test points for inclusion in a polygon
Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
areapl
Calculate area of polygon
Shift
Shift a point data set
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
k12hat
Bivariate K-function
bboxx
Generate a non-closed bounding polygon
kernel2d
Kernel smoothing of a point pattern
sbox
Generate a box surrounding a point object
burkitt
Burkitt's lymphoma in Uganda
stsecal
Standard error for space-time clustering
cardiff
Locations of homes of juvenile offenders
Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
csr
Generate completely spatially random points on a polygon
pcp
Fit a Poisson cluster process
Fhat
F nearest neighbour distribution function
delpoints
Select points to delete from a points data set
amacrines
Amacrines on/off data set
mpoint
Overlay a number of point patterns
nndistG
Nearest neighbour distances as used by Ghat()
mse2d
Mean Square Error for a Kernel Smoothing
polymap
Graphics
pdense
Overall density for a point pattern
kerview
A linked-window system for browsing space-time data
okblack
Oklahoma black offenders
khvmat
Covariance matrix for the difference between two K-functions
plt
bins nearest neighbour distances
tribble
Diggle-Rowlingson Raised Incidence Model
secal
Standard errors for the difference between two K-functions
gen
generate points in polygon
dsquare
Distance-squared from a number of points to a number of sources
southlancs
Cancer cases in Chorley-Ribble
khat
K-function
okwhite
Oklahoma white offenders
kernrat
Ratio of two kernel smoothings
is.points
Point Objects
kernel3d
Space-time kernel
stdiagn
Summary plots for clustering analysis
uganda
Craters in Uganda
triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model
stkhat
Space-time K-functions
pcp.sim
Generate a Poisson Cluster Process
pip
Points inside or outside a polygon
nndistF
Nearest neighbour distances as used by Fhat()
thin
Randomly thin a point data set
gridpts
Generate a grid of points
inpip
Select points inside a polygon
khvc
Covariance matrix for the difference between two K-functions
tor.shift
Toroidal shift on a point data set
stvmat
Variance matrix for space-time clustering
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
getpoly
Draw a polygon on the current graphics device
rtor.shift
Random toroidal shift on a point data set
ranpts
adjust number of random points in polygon
splancs
Return version number and author information
zoom
Interactively specify a region of a plot for expansion
bodmin
Bodmin Moors granite tors
as.points
Creates data in spatial point format
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
rLabel
Randomly label two or more point sets
stmctest
Monte-Carlo test of space-time clustering