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dbmss (version 2.0.3)

Distance-based measures of spatial structures

Description

This package allows simple computation of a full set of spatial statistic functions of distance, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). It relies on spatstat for core calculation.

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Version

Install

install.packages('dbmss')

Monthly Downloads

964

Version

2.0.3

License

GNU General Public License

Maintainer

Eric Marcon

Last Published

May 29th, 2013

Functions in dbmss (2.0.3)

print.dbmssEnvelope

Print a confidence envelope

Transform simulation values to an fv

Estimation of the confidence envelope of the g function under its null hypothesis

Estimation of the confidence envelope of the D function under its null hypothesis

Estimation of the global confidence interval of simulations

Test of a point pattern against Complete Spatial Randomness

Estimation of the D function

Estimation of the confidence envelope of the Lmm function under its null hypothesis

Estimation of the Kmm function

Estimation of the Lmm function

Create a Weighted, Marked, Planar Point Pattern

Estimation of the confidence envelope of the Lmm function under its null hypothesis

Estimation of the K function

Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis

Converts data to class wmppp

rRandomPositionK

Simulations of a point pattern according to the null hypothesis of random position defined for K

Estimation of the confidence envelope of the Kinhom function under its null hypothesis

Estimation of the inhomogenous K function

Estimation of the confidence envelope of the L function under its null hypothesis

Estimation of the M function

Estimation of the Kd function

rPopulationIndependenceK

Simulations of a point pattern according to the null hypothesis of population independence defined for K

Estimation of the g function

Estimation of the confidence envelope of the K function under its null hypothesis

Distance based measures of spatial structures

dbmssEnvelope.object

Class of envelope of function values (fv)

Estimation of the confidence envelope of the M function under its null hypothesis

rRandomLabeling

Simulations of a point pattern according to the null hypothesis of random labeling

summary.dbmssEnvelope

Summary of a confidence envelope

Test whether an object is a weighted, marked, planar point pattern

CheckdbmssArguments

Checks the arguments of a function of the package dbmss

rRandomLabelingM

Simulations of a point pattern according to the null hypothesis of random labelling defined for M

Class of Weighted, Marked, Planar Point Patterns

Estimation of the L function

Paracou field station plot 16, partial map

rRandomLocation

Simulations of a point pattern according to the null hypothesis of random location

Estimation of the confidence envelope of the Kd function under its null hypothesis

rPopulationIndependenceM

Simulations of a point pattern according to the null hypothesis of population independence defined for M