https://github.com/cran/Splancs
Tip revision: f029fd525a43547b3e9ce32fa846604b89d5df65 authored by Roger Bivand on 30 January 2008, 00:00:00 UTC
version 2.01-24
version 2.01-24
Tip revision: f029fd5
INDEX
addpoints Add points interactively to a point data set
amacrines.on Amacrines on/off data set
areapl Calculate area of polygon
as.points Creates data in spatial point format
bboxx Generate a non-closed bounding polygon
bodmin Bodmin Moors granite tors
burkitt Burkitt's lymphoma in Uganda
cardiff Locations of homes of juvenile offenders
csr Generate completely spatially random points on
a polygon
delpoints Select points to delete from a points data set
dsquare Distance-squared from a number of points to a
number of sources
Fhat F nearest neighbour distribution function
Fzero Theoretical nearest neighbour distribution
function
gen generate points in polygon
getpoly Draw a polygon on the current graphics device
Ghat G nearest neighbour distribution function
gridpts Generate a grid of points
inout Test points for inclusion in a polygon
inpip Select points inside a polygon
is.points Point Objects
k12hat Bivariate K-function
Kenv.csr Envelope of Khat from simulations of complete
spatial randomness
Kenv.label Envelope of K1hat-K2hat from random labelling
of two point patterns
Kenv.pcp Calculate simulation envelope for a Poisson
Cluster Process
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
kernel2d Kernel smoothing of a point pattern
kernel3d Space-time kernel
kernrat Ratio of two kernel smoothings
kerview A linked-window system for browsing space-time
data
khat K-function
khvc Covariance matrix for the difference between
two K-functions
khvmat Covariance matrix for the difference between
two K-functions
mpoint Overlay a number of point patterns
mse2d Mean Square Error for a Kernel Smoothing
n2dist Nearest neighbours for two point patterns
nndistF Nearest neighbour distances as used by Fhat()
nndistG Nearest neighbour distances as used by Ghat()
npts Number of points in data set
okblack Oklahoma black offenders
okwhite Oklahoma white offenders
pcp Fit a Poisson cluster process
pcp.sim Generate a Poisson Cluster Process
pdense Overall density for a point pattern
pip Points inside or outside a polygon
plt bins nearest neighbour distances
pointmap Graphics
polymap Graphics
print.ribfit Display the fit from tribble()
ranpts adjust number of random points in polygon
rLabel Randomly label two or more point sets
rtor.shift Random toroidal shift on a point data set
sbox Generate a box surrounding a point object
secal Standard errors for the difference between two
K-functions
Shift Shift a point data set
southlancs Cancer cases in Chorley-Ribble
splancs Return version number and author information
spoints Point Objects
stdiagn Summary plots for clustering analysis
stkhat Space-time K-functions
stmctest Monte-Carlo test of space-time clustering
stsecal Standard error for space-time clustering
stvmat Variance matrix for space-time clustering
thin Randomly thin a point data set
tor.shift Toroidal shift on a point data set
tribble Diggle-Rowlingson Raised Incidence Model
triblik Log-likelihood for the Diggle-Rowlingson raised
incidence model
uganda Craters in Uganda
zoom Interactively specify a region of a plot for
expansion