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splancs (version 2.01-43)

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

2.01-43

License

GPL (>= 2)

Maintainer

Roger Bivand

Last Published

April 17th, 2022

Functions in splancs (2.01-43)

Add points interactively to a point data set

Envelope of Khat from simulations of complete spatial randomness

Generate a non-closed bounding polygon

G nearest neighbour distribution function

F nearest neighbour distribution function

Envelope of K12hat from random toroidal shifts of two point patterns

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

Calculate simulation envelope for a Poisson Cluster Process

Select points to delete from a points data set

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

Generate completely spatially random points on a polygon

Burkitt's lymphoma in Uganda

Generate a grid of points

Bodmin Moors granite tors

Draw a polygon on the current graphics device

Locations of homes of juvenile offenders

Calculate area of polygon

Oklahoma black offenders

Amacrines on/off data set

Number of points in data set

Kernel smoothing of a point pattern

Space-time kernel

Bivariate K-function

Creates data in spatial point format

Test points for inclusion in a polygon

generate points in polygon

Select points inside a polygon

Mean Square Error for a Kernel Smoothing

Ratio of two kernel smoothings

Nearest neighbours for two point patterns

Overall density for a point pattern

Covariance matrix for the difference between two K-functions

Generate a Poisson Cluster Process

A linked-window system for browsing space-time data

Covariance matrix for the difference between two K-functions

Display the fit from tribble()

adjust number of random points in polygon

Overlay a number of point patterns

Oklahoma white offenders

Summary plots for clustering analysis

Fit a Poisson cluster process

Space-time K-functions

Randomly label two or more point sets

Shift a point data set

Generate a box surrounding a point object

Cancer cases in Chorley-Ribble

Monte-Carlo test of space-time clustering

Standard errors for the difference between two K-functions

Standard error for space-time clustering

Random toroidal shift on a point data set

Craters in Uganda

Log-likelihood for the Diggle-Rowlingson raised incidence model

Nearest neighbour distances as used by Ghat()

Nearest neighbour distances as used by Fhat()

Interactively specify a region of a plot for expansion

Variance matrix for space-time clustering

Points inside or outside a polygon

bins nearest neighbour distances

Randomly thin a point data set

Return version number and author information

Diggle-Rowlingson Raised Incidence Model

Toroidal shift on a point data set

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

Theoretical nearest neighbour distribution function