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splancs (version 2.01-45)

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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Install

install.packages('splancs')

Monthly Downloads

11,022

Version

2.01-45

License

GPL (>= 2)

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Repository

https://github.com/rsbivand/splancs

Homepage

https://www.maths.lancs.ac.uk/~rowlings/Splancs/

Maintainer

Last Published

May 27th, 2024

Functions in splancs (2.01-45)

Generate a non-closed bounding polygon

Test points for inclusion in a polygon

Mean Square Error for a Kernel Smoothing

Kernel smoothing of a point pattern

Covariance matrix for the difference between two K-functions

Nearest neighbours for two point patterns

Space-time kernel

Select points to delete from a points data set

Nearest neighbour distances as used by Ghat()

Oklahoma white offenders

Fit a Poisson cluster process

Ratio of two kernel smoothings

Points inside or outside a polygon

bins nearest neighbour distances

Generate a grid of points

Draw a polygon on the current graphics device

Nearest neighbour distances as used by Fhat()

Standard errors for the difference between two K-functions

A linked-window system for browsing space-time data

Generate a box surrounding a point object

Select points inside a polygon

Display the fit from tribble()

Summary plots for clustering analysis

Covariance matrix for the difference between two K-functions

Space-time K-functions

Overlay a number of point patterns

adjust number of random points in polygon

Bivariate K-function

Generate a Poisson Cluster Process

Randomly label two or more point sets

Overall density for a point pattern

Variance matrix for space-time clustering

Random toroidal shift on a point data set

Randomly thin a point data set

Interactively specify a region of a plot for expansion

Shift a point data set

Standard error for space-time clustering

Cancer cases in Chorley-Ribble

Monte-Carlo test of space-time clustering

Number of points in data set

Oklahoma black offenders

Log-likelihood for the Diggle-Rowlingson raised incidence model

Craters in Uganda

Return version number and author information

Toroidal shift on a point data set

Diggle-Rowlingson Raised Incidence Model

G nearest neighbour distribution function

Generate completely spatially random points on a polygon

Calculate simulation envelope for a Poisson Cluster Process

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

F nearest neighbour distribution function

Theoretical nearest neighbour distribution function

Envelope of K12hat from random toroidal shifts of two point patterns

Burkitt's lymphoma in Uganda

Envelope of Khat from simulations of complete spatial randomness

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

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

Creates data in spatial point format

Calculate area of polygon

generate points in polygon

Amacrines on/off data set

Add points interactively to a point data set

Locations of homes of juvenile offenders

Bodmin Moors granite tors