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dbmss (version 1.2.4)

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 onces 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

641

Version

1.2.4

License

GNU General Public License

Maintainer

Eric Marcon

Last Published

December 17th, 2012

Functions in dbmss (1.2.4)

Calculate the critical values of a column of a matrix

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

Paracou field station plot 16, partial map

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

RandomLabeling.M

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

PopulationIndependence.K

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

Estimation of the inhomogenous K function

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

Simulations of point patterns to obtain values of Kinhom under the null hypothesis

Estimation of the D function

Simulations of point patterns to obtain values of M under the null hypothesis

Distance based measures of spatial structures

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

Nomalization of K-like functions into L-like functions

Estimation of the global confidence interval of a matrix of simulations

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

Estimation of the L function

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

Plot of a distance-based measure against distances, with confidence envelopes

Estimation of the g function

Estimation of the Lmm function

Divides a value by $\pi R^2$

RandomPosition.K

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

Estimation of the Kd function

Estimation of the K function

Estimation of the M function

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

Simulations of point patterns to obtain values of Kd under the null hypothesis

Test of a point pattern against Complete Spatial Randomness

Simulations of point patterns to obtain values of g under the null hypothesis

Simulations of point patterns to obtain values of K under the null hypothesis

PopulationIndependence.M

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

Simulations of point patterns to obtain values of D under the null hypothesis

Estimation of the Kmm function

Simulations of point patterns to obtain values of Kmm under the null hypothesis

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

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

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