splancs2.01-45 package

Select points inside a polygon

Point Objects

Add points interactively to a point data set

Calculate area of polygon

Creates data in spatial point format

Generate a non-closed bounding polygon

Generate completely spatially random points on a polygon

Select points to delete from a points data set

Distance-squared from a number of points to a number of sources

F nearest neighbour distribution function

Theoretical nearest neighbour distribution function

generate points in polygon

Draw a polygon on the current graphics device

G nearest neighbour distribution function

Generate a grid of points

Test points for inclusion in a polygon

Bivariate K-function

Envelope of Khat from simulations of complete spatial randomness

Envelope of K1hat-K2hat from random labelling of two point patterns

Calculate simulation envelope for a Poisson Cluster Process

Envelope of K12hat from random toroidal shifts of two point patterns

Modified envelope of K12hat from random toroidal shifts of two point p...

Kernel smoothing of a point pattern

Space-time kernel

Ratio of two kernel smoothings

A linked-window system for browsing space-time data

K-function

Covariance matrix for the difference between two K-functions

Covariance matrix for the difference between two K-functions

Random toroidal shift on a point data set

Overlay a number of point patterns

Mean Square Error for a Kernel Smoothing

Nearest neighbours for two point patterns

Nearest neighbour distances as used by Fhat()

Nearest neighbour distances as used by Ghat()

Number of points in data set

Fit a Poisson cluster process

Generate a Poisson Cluster Process

Overall density for a point pattern

Points inside or outside a polygon

bins nearest neighbour distances

Generate a box surrounding a point object

Graphics

Graphics

Display the fit from tribble()

adjust number of random points in polygon

Randomly label two or more point sets

Standard errors for the difference between two K-functions

Shift a point data set

Return version number and author information

Point Objects

Summary plots for clustering analysis

Space-time K-functions

Monte-Carlo test of space-time clustering

Standard error for space-time clustering

Variance matrix for space-time clustering

Randomly thin a point data set

Toroidal shift on a point data set

Diggle-Rowlingson Raised Incidence Model

Log-likelihood for the Diggle-Rowlingson raised incidence model

Interactively specify a region of a plot for expansion