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Biolinv (version 0.1-3)

Modelling and Forecasting Biological Invasions

Description

Analysing and forecasting biological invasions time series with a stochastic approach that accounts for human-aided dispersal, habitat suitability and provides estimates confidence level.

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Version

Install

install.packages('Biolinv')

Monthly Downloads

71

Version

0.1-3

License

GPL-3

Maintainer

Luca Butikofer

Last Published

March 30th, 2021

Functions in Biolinv (0.1-3)

distances

Hidden functions for EM algorithm.
RPG

Generates random points within a geographic boundary.
EM

Runs the EM algorithm.
cosd

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

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

Frogs sighting locations.
frogsJK

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

Generates points of natural origin.
frogsLacro

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

Jackknifes a dataset.
simulacro

Builds a simulated biological invasion dataset.
plotAlpha

Plots the output of modSel().
plotlacro

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

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

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

Computes spatial dissimilarity of two point processes.
SDS

Generates a list of dispersal vectors.
frogsSum

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

One dimentional dispersal kernel function.
sind

Computes the sine of an angle expressed in decimal degrees.