Distance-Based Measures of Spatial Structures
Estimation of the confidence envelope of the D function under its null...
Estimation of the D function
Create a Distance table object.
Computes simulation envelopes of a summary function.
Transform simulation values to an fv
Methods for weighted, marked planar point patterns (of class wmppp) fr...
Estimation of the confidence envelope of the g function under its null...
Converts data to class Dtable
Converts data to class wmppp
ggplot methods to plot dbmss objects
Checks the arguments of a function of the package dbmss
Distance Based Measures of Spatial Structures
Class of envelope of function values (fv)
Estimation of the g function
Estimation of the global confidence interval of simulations
Goodness of Fit test between a distance based measure of spatial struc...
Test whether an object is a weighted, marked, planar point pattern
Estimation of the confidence envelope of the Kd function under its nul...
Estimation of the Kd function
Estimation of the confidence envelope of the K function under its null...
Estimation of the K function
Estimation of the confidence envelope of the Kinhom function under its...
Estimation of the inhomogenous K function
Estimation of the confidence envelope of the Lmm function under its nu...
Estimation of the Kmm function
Test of a point pattern against Complete Spatial Randomness
Estimation of the confidence envelope of the L function under its null...
Estimation of the L function
Estimation of the confidence envelope of the Lmm function under its nu...
Estimation of the Lmm function
Estimation of the confidence envelope of the m function under its null...
Estimation of the m function
Estimation of the confidence envelope of the M function under its null...
Estimation of the M function
Print a confidence envelope
Auxiliary functions to count point neighbors
Objects exported from other packages
Simulations of a point pattern according to the null hypothesis of pop...
Simulations of a point pattern according to the null hypothesis of pop...
Simulations of a point pattern according to the null hypothesis of ran...
Simulations of a point pattern according to the null hypothesis of ran...
Simulations of a point pattern according to the null hypothesis of ran...
Simulations of a point pattern according to the null hypothesis of ran...
Spatial smoothing of individual dbmss's
Summary of a confidence envelope
Class of Weighted, Marked, Planar Point Patterns
Create a Weighted, Marked, Planar Point Pattern
Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (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.
Useful links