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dbmss (version 2.2-5)

Distance-Based Measures of Spatial Structures

Description

Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, 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). Relies on spatstat for some core calculation.

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Version

Install

install.packages('dbmss')

Monthly Downloads

755

Version

2.2-5

License

GNU General Public License

Maintainer

Eric Marcon

Last Published

June 30th, 2016

Functions in dbmss (2.2-5)

Estimation of the D function

dbmssEnvelope.object

Class of envelope of function values (fv)

Converts data to class Dtable

CheckdbmssArguments

Checks the arguments of a function of the package dbmss

Create a Distance table object.

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

envelope.Dtable

Computes simulation envelopes of a summary function.

Distance Based Measures of Spatial Structures

Converts data to class wmppp

Transform simulation values to an fv

spatstat generic functions

Methods for weighted, marked planar point patterns (of class wmppp) from spatstat

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

Estimation of the global confidence interval of simulations

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

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

Estimation of the g function

Estimation of the Kd function

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

Estimation of the K function

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

Estimation of the Lmm function

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

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

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

Estimation of the L function

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

Estimation of the inhomogenous K function

Estimation of the Kmm function

Test of a point pattern against Complete Spatial Randomness

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

Estimation of the M function

parallelCountNbd

Auxiliary functions to count point neighbors

Paracou field station plot 16, partial map

rRandomLabelingM

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

rRandomLabeling

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

rPopulationIndependenceM

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

rPopulationIndependenceK

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

print.dbmssEnvelope

Print a confidence envelope

summary.dbmssEnvelope

Summary of a confidence envelope

rRandomLocation

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

Create a Weighted, Marked, Planar Point Pattern

Class of Weighted, Marked, Planar Point Patterns

rRandomPositionK

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