SiMRiv: Individual-Based, Spatially-Explicit Simulation and Analysis of Multi-State Movements in River Networks, Homogeneous, and Heterogeneous Landscapes
Version 1.0.1

Provides functions to generate and analyze individual-based spatially-explicit simulations of multi-state movements in heterogeneous landscapes, based on "resistance" rasters. Although originally conceived and designed to simulate spatially-explicit trajectories of species constrained to linear habitats or dendritic ecological networks (e.g., river networks), the simulation algorithm is built to be highly flexible and can be applied to any (aquatic, semi-aquatic or terrestrial) organism, independently on the landscape in which it moves. Thus, the user will be able to use the package to simulate movements either in homogeneous landscapes, heterogeneous landscapes (e.g. semi-aquatic animal moving mainly along rivers but also using the matrix), or even in highly contrasted landscapes (e.g. fish in a river network). The algorithm and its input parameters are the same for all cases, so that results are comparable. Simulated trajectories can then be used as mechanistic null models to test e.g. for species site fidelity and other 'Movement Ecology' hypotheses (Nathan et al. 2008, ), or for other predictive purposes. The package should thus be relevant to explore a broad spectrum of ecological phenomena, such as those at the interface of animal behaviour, landscape, spatial and movement ecology, disease and invasive species spread, and population dynamics.

Package details

AuthorLorenzo Quaglietta [aut], Miguel Porto [aut, cre], Erida Gjini [ctb]
Date of publication2017-08-17 18:25:57 UTC
MaintainerMiguel Porto <[email protected]>
LicenseGPL (>= 2)
Version1.0.1
URL https://www.r-project.org https://github.com/miguel-porto/SiMRiv
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SiMRiv")

Try the SiMRiv package in your browser

Any scripts or data that you put into this service are public.

SiMRiv documentation built on Aug. 18, 2017, 1:02 a.m.