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splancs (version 2.01-11)
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
9,630
Version
2.01-11
License
GPL version 2 or newer (see README).
Homepage
http://www.r-project.org
Maintainer
Roger Bivand
Last Published
October 27th, 2003
Functions in splancs (2.01-11)
Search functions
Fzero
Theoretical nearest neighbour distribution function
as.points
Creates data in spatial point format
stkhat
Space-time K-functions
shift
Shift a point data set
pcp
Fit a Poisson cluster process
stsecal
Standard error for space-time clustering
tor.shift
Toroidal shift on a point data set
Kenv.tor1
Modified envelope of K12hat from random toroidal shifts of two point patterns
gridpts
Generate a grid of points
pointmap
Graphics
secal
Standard errors for the difference between two K-functions
nndistF
Nearest neighbour distances as used by Fhat()
inout
Test points for inclusion in a polygon
amacrines
Amacrines on/off data set
bbox
Generate a bounding box round a point object
Kenv.pcp
Calculate simulation envelope for a Poisson Cluster Process
plt
bins nearest neighbour distances
kerview
A linked-window system for browsing space-time data
getpoly
Draw a polygon on the current graphics device
okblack
Oklahoma black offenders
ranpts
adjust number of random points in polygon
rlabel
Randomly label two or more point sets
burkitt
Burkitt's lymphoma in Uganda
Kenv.tor
Envelope of K12hat from random toroidal shifts of two point patterns
splancs
Return version number and author information
pdense
Overall density for a point pattern
delpoints
Select points to delete from a points data set
kernrat
Ratio of two kernel smoothings
cardiff
Locations of homes of juvenile offenders
khvc
Covariance matrix for the difference between two K-functions
triblik
Log-likelihood for the Diggle-Rowlingson raised incidence model
stvmat
Variance matrix for space-time clustering
polymap
Graphics
tribble
Diggle-Rowlingson Raised Incidence Model
pip
Points inside or outside a polygon
is.points
Point Objects
khvmat
Covariance matrix for the difference between two K-functions
Fhat
F nearest neighbour distribution function
addpoints
Add points interactively to a point data set
khat
K-function
nndistG
Nearest neighbour distances as used by Ghat()
csr
Generate completely spatially random points on a polygon
inpip
Select points inside a polygon
n2dist
Nearest neighbours for two point patterns
mse2d
Mean Square Error for a Kernel Smoothing
k12hat
Bivariate K-function
kernel2d
Kernel smoothing of a point pattern
southlancs
Cancer cases in Chorley-Ribble
uganda
Craters in Uganda
print.ribfit
Display the fit from tribble()
spoints
Point Objects
Kenv.csr
Envelope of Khat from simulations of complete spatial randomness
thin
Randomly thin a point data set
mpoint
Overlay a number of point patterns
Kenv.label
Envelope of K1hat-K2hat from random labelling of two point patterns
bodmin
Bodmin Moors granite tors
kernel3d
Space-time kernel
okwhite
Oklahoma white offenders
dsquare
Distance-squared from a number of points to a number of sources
stdiagn
Summary plots for clustering analysis
areapl
Calculate area of polygon
Ghat
G nearest neighbour distribution function
gen
generate points in polygon
pcp.sim
Generate a Poisson Cluster Process
rtor.shift
Random toroidal shift on a point data set
sbox
Generate a box surrounding a point object
stmctest
Monte-Carlo test of space-time clustering
npts
Number of points in data set
zoom
Interactively specify a region of a plot for expansion