Functions for Spatial Point Pattern Analysis
Functions for spatial point pattern analysis in ecology
Dixon (2002) Nearest-neighbor contingency table analysis
Neighbourhood density function
Spatial point pattern of a plant community
Easily convert xy data to ppp format
Internal ecespa functions.
Fit the (In)homogeneous Poisson Cluster Point Process by Minimum Contr...
Tests against 'independent labelling'
Differences between univariate and bivariate K-functions
Test against non-Poisson (in-)homogeneous models
Simulation envelopes from the fitted values of a logistic model
Mark-weighted K-function
Lotwick's and Silverman's combined estimator of the marked K-function
Loosmore and Ford Goodness of Fit Test
Mark-sum measure
P-value for a discrete distribution on small sample data
Fit the Poisson Cluster Point Process by Minimum Contrast
Simulate Inhomogeneous Poisson Cluster Process
Cohorts of Helianthemum squamatum seedlings
Simulate Poisson Cluster Process
Syrjala test data
Syrjala's test for the difference between the spatial distributions of...
Some wrappers, functions and data sets for for spatial point pattern analysis (mainly based on 'spatstat'), used in the book "Introduccion al Analisis Espacial de Datos en Ecologia y Ciencias Ambientales: Metodos y Aplicaciones" and in the papers by De la Cruz et al. (2008) <doi:10.1111/j.0906-7590.2008.05299.x> and Olano et al. (2009) <doi:10.1051/forest:2008074>.