A1795
Title: ldmppr: Location dependent marked point processes in R
Authors: Lane Drew - University of Colorado Anschutz (United States) [presenting]
Andee Kaplan - Colorado State University (United States)
Abstract: The ldmppr R package is presented for estimating, evaluating, simulating from, and visualizing location-dependent marked spatial point processes. To date, it has commonly been assumed that the marks associated with a point process are independent of the locations. However, when dealing with many point processes, such as those arising in forestry applications, the independence assumption proves unreasonable. A practical framework for generating marked point processes with dependence between the marks and locations is introduced. A brief discussion of the theory underpinning the modeling approach is provided along with an outline of the package use in a typical scenario involving real data. The functionality of the package for both generating from and assessing the goodness-of-fit of a given model is highlighted, enabling users to generate realistic point patterns given a reference pattern or parameter values of interest.
