Spatial and Space-Time Point Pattern Analysis

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 |

bbox | 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... |

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... |

Kenv.label | Envelope of K1hat-K2hat from random labelling of two point... |

Kenv.pcp | Calculate simulation envelope for a Poisson Cluster Process |

Kenv.tor | Envelope of K12hat from random toroidal shifts of two point... |

Kenv.tor1 | Modified envelope of K12hat from random toroidal shifts of... |

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... |

uganda | Craters in Uganda |

zoom | Interactively specify a region of a plot for expansion |

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