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splancs (version 2.01-33)
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
2.01-33
License
GPL (>= 2)
Maintainer
Roger Bivand
Last Published
June 22nd, 2013
Functions in splancs (2.01-33)
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triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model
Fzero
Theoretical nearest neighbour distribution function
bodmin
Bodmin Moors granite tors
nndistG
Nearest neighbour distances as used by Ghat()
csr
Generate completely spatially random points on a polygon
pcp.sim
Generate a Poisson Cluster Process
kernel3d
Space-time kernel
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
khvc
Covariance matrix for the difference between two K-functions
Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
kernel2d
Kernel smoothing of a point pattern
burkitt
Burkitt's lymphoma in Uganda
khat
K-function
rLabel
Randomly label two or more point sets
spoints
Point Objects
okblack
Oklahoma black offenders
pointmap
Graphics
polymap
Graphics
Shift
Shift a point data set
plt
bins nearest neighbour distances
ranpts
adjust number of random points in polygon
khvmat
Covariance matrix for the difference between two K-functions
stdiagn
Summary plots for clustering analysis
zoom
Interactively specify a region of a plot for expansion
secal
Standard errors for the difference between two K-functions
tribble
Diggle-Rowlingson Raised Incidence Model
Ghat
G nearest neighbour distribution function
Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
bboxx
Generate a non-closed bounding polygon
areapl
Calculate area of polygon
inout
Test points for inclusion in a polygon
is.points
Point Objects
inpip
Select points inside a polygon
kernrat
Ratio of two kernel smoothings
kerview
A linked-window system for browsing space-time data
mpoint
Overlay a number of point patterns
mse2d
Mean Square Error for a Kernel Smoothing
pip
Points inside or outside a polygon
stkhat
Space-time K-functions
npts
Number of points in data set
stsecal
Standard error for space-time clustering
dsquare
Distance-squared from a number of points to a number of sources
amacrines
Amacrines on/off data set
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
addpoints
Add points interactively to a point data set
cardiff
Locations of homes of juvenile offenders
delpoints
Select points to delete from a points data set
pcp
Fit a Poisson cluster process
tor.shift
Toroidal shift on a point data set
uganda
Craters in Uganda
pdense
Overall density for a point pattern
southlancs
Cancer cases in Chorley-Ribble
sbox
Generate a box surrounding a point object
print.ribfit
Display the fit from tribble()
as.points
Creates data in spatial point format
getpoly
Draw a polygon on the current graphics device
gen
generate points in polygon
gridpts
Generate a grid of points
k12hat
Bivariate K-function
okwhite
Oklahoma white offenders
nndistF
Nearest neighbour distances as used by Fhat()
n2dist
Nearest neighbours for two point patterns
rtor.shift
Random toroidal shift on a point data set
stvmat
Variance matrix for space-time clustering
thin
Randomly thin a point data set
Fhat
F nearest neighbour distribution function
stmctest
Monte-Carlo test of space-time clustering
splancs
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