| 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 |