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splancs (version 2.01-37)

Spatial and Space-Time Point Pattern Analysis

Description

The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode".

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Version

Install

install.packages('splancs')

Monthly Downloads

18,356

Version

2.01-37

License

GPL (>= 2)

Maintainer

Roger Bivand

Last Published

March 18th, 2015

Functions in splancs (2.01-37)

Amacrines on/off data set

F nearest neighbour distribution function

Draw a polygon on the current graphics device

Select points inside a polygon

Overlay a number of point patterns

Shift a point data set

Variance matrix for space-time clustering

Log-likelihood for the Diggle-Rowlingson raised incidence model

Diggle-Rowlingson Raised Incidence Model

Theoretical nearest neighbour distribution function

Envelope of K12hat from random toroidal shifts of two point patterns

Test points for inclusion in a polygon

Add points interactively to a point data set

Select points to delete from a points data set

A linked-window system for browsing space-time data

Nearest neighbour distances as used by Fhat()

Randomly label two or more point sets

Display the fit from tribble()

Monte-Carlo test of space-time clustering

Standard error for space-time clustering

Toroidal shift on a point data set

Craters in Uganda

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

Calculate area of polygon

Generate completely spatially random points on a polygon

Bivariate K-function

Number of points in data set

Generate a Poisson Cluster Process

Generate a box surrounding a point object

Fit a Poisson cluster process

Points inside or outside a polygon

Calculate simulation envelope for a Poisson Cluster Process

G nearest neighbour distribution function

Burkitt's lymphoma in Uganda

Generate a non-closed bounding polygon

Space-time kernel

Covariance matrix for the difference between two K-functions

Nearest neighbours for two point patterns

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

Mean Square Error for a Kernel Smoothing

bins nearest neighbour distances

Oklahoma white offenders

Overall density for a point pattern

adjust number of random points in polygon

Random toroidal shift on a point data set

Summary plots for clustering analysis

Randomly thin a point data set

Interactively specify a region of a plot for expansion

Creates data in spatial point format

Envelope of Khat from simulations of complete spatial randomness

Modified envelope of K12hat from random toroidal shifts of two point patterns

Bodmin Moors granite tors

generate points in polygon

Locations of homes of juvenile offenders

Kernel smoothing of a point pattern

Generate a grid of points

Ratio of two kernel smoothings

Covariance matrix for the difference between two K-functions

Oklahoma black offenders

Standard errors for the difference between two K-functions

Nearest neighbour distances as used by Ghat()

Cancer cases in Chorley-Ribble

Return version number and author information

Space-time K-functions