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| 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 |
| 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 |