BioDinamica: a toolkit for analyses of biodiversity and biogeography on the Dinamica-EGO modelling platform
| Autor: | Rômulo Fernandes Machado Leitão, Britaldo Soares-Filho, Hermann Rodrigues, Ubirajara Oliveira |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Conservation Biology Interface (Java) Computer science lcsh:Medicine computer.software_genre 010603 evolutionary biology 01 natural sciences General Biochemistry Genetics and Molecular Biology Modelling Species distribution models Phylogenetic spatial analyses Macroecology Visual programming language Ecology 010604 marine biology & hydrobiology General Neuroscience Suite lcsh:R Beta-diversity General Medicine Biodiversity Wizard GIS Data science Evolutionary Studies Spatial patterns Biogeography Scripting language Spatial ecology Evolutionary ecology General Agricultural and Biological Sciences computer |
| Zdroj: | PeerJ, Vol 7, p e7213 (2019) PeerJ |
| ISSN: | 2167-8359 |
| Popis: | Biogeography and macroecology are at the heart of the debate on ecology and evolution. We have developed the BioDinamica package, a suite of user-friendly graphical programs for analysing spatial patterns of biogeography and macroecology. BioDinamica includes analyses of beta-diversity, species richness, endemicity, phylo-diversity, species distribution models, predictive models of biodiversity patterns, and several tools for spatial biodiversity analysis. BioDinamica consists of a sub-library of Dinamica-EGO operators developed by integrating EGO native functions with R scripts. The BioDinamica operators can be assembled to create complex analytical and simulation models through the EGO graphical programming interface. In addition, we make available “Wizard” tutorials for end users. BioDinamica can be downloaded free of charge from the Dinamica EGO submodel store. The tools made available in BioDinamica not only facilitate complex biodiversity analyses, they also help develop state-of-the-art spatial models for biogeography and macroecology studies. |
| Databáze: | OpenAIRE |
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