Spatial Point Patterns Analysis
Area of a sampling window
Multiscale local density of a spatial point pattern
Test whether points are inside a sampling window
Internal ads functions
Multiscale second-order neighbourhood analysis of a bivariate spatial ...
Multiscale local second-order neighbour density of a bivariate spatial...
Multiscale second-order neighbourhood analysis of a spatial phylogenet...
Multiscale second-order neighbourhood analysis of an univariate spatia...
Multiscale second-order neighbourhood analysis of a marked spatial poi...
Multiscale second-order neighbourhood analysis of a multivariate spati...
Multiscale second-order neighbourhood analysis of a multivariate spati...
Multiscale second-order neighbourhood analysis of a multivariate spati...
Multiscale second-order neighbourhood analysis of a multivariate spati...
Multiscale local second-order neighbour density of a spatial point pat...
Univariate point pattern simulation by mimetic point process
Plot second-order neighbourhood functions
Plot a Spatial Point Pattern object
Plot local density values
Creating a spatial point pattern
Creating a sampling window
Triangulate polygon
Perform first- and second-order multi-scale analyses derived from Ripley K-function (Ripley B. D. (1977) <doi:10.1111/j.2517-6161.1977.tb01615.x>), for univariate, multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of statistical significance based on Monte Carlo simulations.