Library in R for the statistical analysis of spatial point patterns, The code will run under Windows or UNIX.
PURPOSE
Functions for point pattern analysis
FUNCTIONS
ESDA
+ display and manipulation of point patterns in the plane + exploratory data analysis + simulation + parametric model-fitting using maximum pseudo-likelihood
The window of observation for the point pattern may have arbitrary shape (represented by a binary image mask, a polygon, or several polygons with holes). The points of the pattern may have marks. You will find there also hypothesis tests and diagnostics
Point process models can be fitted to point pattern data
Library in R for the statistical analysis of spatial point patterns, The code will run under Windows or UNIX.
PURPOSE
Functions for point pattern analysis
FUNCTIONS
ESDA
+ display and manipulation of point patterns in the plane + exploratory data analysis + simulation + parametric model-fitting using maximum pseudo-likelihood
The window of observation for the point pattern may have arbitrary shape (represented by a binary image mask, a polygon, or several polygons with holes). The points of the pattern may have marks. You will find there also hypothesis tests and diagnostics
Point process models can be fitted to point pattern data
Library in R for the statistical analysis of spatial point patterns, The code will run under Windows or UNIX.
PURPOSE
Functions for point pattern analysis
FUNCTIONS
ESDA
+ display and manipulation of point patterns in the plane + exploratory data analysis + simulation + parametric model-fitting using maximum pseudo-likelihood
The window of observation for the point pattern may have arbitrary shape (represented by a binary image mask, a polygon, or several polygons with holes). The points of the pattern may have marks. You will find there also hypothesis tests and diagnostics
Point process models can be fitted to point pattern data