vortexRdata: vortexRdata: Example data for vortexR
In carlopacioni/vortexRdata: Example Data for R Package 'vortexR'

vortexRdata provides real-world example data for vortexR in both raw (Vortex output) and binary (R objects) form.

vortexR uses the raw data provided here to illustrate its capability to parse raw Vortex output files into one R object.

vortexR facilitates Post Vortex Simulation Analysis (PVSA) by offering tools to collate multiple Vortex (v10) output files into one R object, generate plots and conduct basic analysis (e.g. pairwise comparisons of scenarios) and more advanced statistics such as fitting of a Generalised Linear Model (GLM) to investigate the main and the interaction effects of the variables of interest.

vortexR has a number of functions that are useful during the development of a Vortex project and for its analysis after completion.

vortexR facilitates the creation of plots and computation of basic statistics to inspect the effect of changes carried out in the Vortex project. Once the Vortex project development is completed, the same framework used in vortexR during the development of the project can be refined and extended to include more advanced statistical analyses or can be easily included in Markdown documents for the creation of reports (by converting them into pdf) or published as web-pages.

The use of vortexR ensures reproducibility and standardises analytical approaches in population viability analysis.

Campbell et al. (2016). Assessing the economic benefits of starling detection and control to Western Australia. Australasian Journal of Environmental Management, 23, 81-99 DOI:10.1080/14486563.2015.1028486

Pacioni, C., Williams, M., Lacy RC, Spencer, P.B.S. and Wayne, A.F. (2017) Predators and genetic fitness: key threatening factors for the conservation of bettong species. Pacific Conservation Biology. DOI:10.1071/PC17002

carlopacioni/vortexRdata documentation built on May 13, 2019, 12:47 p.m.