R: Spatial and Space-Time Point Pattern Analysis

# Spatial and Space-Time Point Pattern Analysis

## Documentation for package ‘splancs’ version 2.01-40

- DESCRIPTION file.

## Help Pages

addpoints | Add points interactively to a point data set
amacrines.off | Amacrines on/off 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
burbdy | Burkitt's lymphoma in Uganda
burkitt | Burkitt's lymphoma in Uganda
burpts | 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
old.incinerator | Cancer cases in Chorley-Ribble
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
plot.khat | K-function
plt | bins nearest neighbour distances
pointmap | Graphics
polymap | Graphics
print.khat | K-function
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
southlancs.bdy | Cancer cases in Chorley-Ribble
southlancs.cc | Cancer cases in Chorley-Ribble
southlancs.pts | Cancer cases in Chorley-Ribble
spkernel2d | Kernel smoothing of a point pattern
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