Function reference • splancs

All functions
`Fhat()`	F nearest neighbour distribution function
`Fzero()`	Theoretical nearest neighbour distribution function
`Ghat()`	G nearest neighbour distribution 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
`addpoints()`	Add points interactively to a point data set
`amacrines`	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
`gen()`	generate points in polygon
`getpoly()`	Draw a polygon on the current graphics device
`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
`kernel2d()` `spkernel2d()`	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()` `print(<khat>)` `plot(<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

Reference

All functions