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Biolinv (version 0.1-2)

Modelling and Forecasting Biological Invasions

Description

Analysing and forecasting biological invasions time series with a stochastic, non-mechanistic approach that gives proper weight to the anthropic component, accounts for habitat suitability and provides measures of precision for its estimates.

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Version

Install

install.packages('Biolinv')

Monthly Downloads

44

Version

0.1-2

License

GPL-3

Maintainer

Luca Butikofer

Last Published

January 3rd, 2018

Functions in Biolinv (0.1-2)

plotlacro

Plots the file type used as input and output of simulacro().
spatFilter

Filters a set of points based on a probability map.
sind

Computes the sine of an angle expressed in decimal degrees.
spatSim

Computes spatial dissimilarity of two point processes.
cosd

Computes the cosine of an angle expressed in decimal degrees.
EM

Runs the EM algorithm.
RPG

Generates random points within a geographic boundary.
NPG

Generates points of natural origin.
frogsJK

Four Jackknife re-samplings done on dataset 'frogs' generated by function jackKnife().
distances

Hidden functions for EM algorithm.
SDS

Generates a list of dispersal vectors.
frogs

Frogs sighting locations.
frogsEM

Frogs sighting locations and the output of the EM() function.
frogsLacro

Simulated datasets for comparison with 'frogs' dataset generated with function simulacro() (see examples in ?simulacro).
modSel

Wrapper for function spatSim() which allows use on multiple datasets.
jackKnife

Jackknifes a dataset.
simulacro

Builds a simulated biological invasion dataset.
fx

One dimentional dispersal kernel function.
plotAlpha

Plots the output of modSel().
frogsSum

Summary of the dissimilarity values of each of the dataframes in 'frogsLacro' with dataframe 'frogs'.
nzw

Landmasses of the two main islands of New Zealand as Window object.
nzp

Landmasses of the two main islands of New Zealand as SpatialPolygons.