sdm: a reproducible and extensible R platform for species distribution modelling

sdm is an object‐oriented, reproducible and extensible, platform for species distribution modelling. It uses individual species and community‐based approaches, enabling ensembles of models to be fitted and evaluated, to project species potential distributions in space and time. It provides a standar...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Ecography (Copenhagen) Ročník 39; číslo 4; s. 368 - 375
Hlavní autori: Naimi, Babak, Araújo, Miguel B
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.04.2016
Nordic Society Oikos
John Wiley & Sons, Inc
Predmet:
Algorithms
Automata theory
biogeography
Cellular automata
computer software
Design
Design modifications
Extensibility
Geographical distribution
Graphical user interface
methodology
Modelling
Object oriented programming
Programming languages
Reproducibility
Scientists
Software
Software notes
space and time
Spatial data
Species
User interface
Variables
ISSN:0906-7590, 1600-0587
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:sdm is an object‐oriented, reproducible and extensible, platform for species distribution modelling. It uses individual species and community‐based approaches, enabling ensembles of models to be fitted and evaluated, to project species potential distributions in space and time. It provides a standardized and unified structure for handling species distributions data and modelling techniques, and supports markedly different modelling approaches, including correlative, process‐based (mechanistic), agent‐based, and cellular automata. The object‐oriented design of software is such that scientists can modify existing methods, extend the framework by developing new methods or modelling procedures, and share them to be reproduced by other scientists. sdm can handle spatial and temporal data for single or multiple species and uses high performance computing solutions to speed up modelling and simulations. The framework is implemented in R, providing a flexible and easy‐to‐use GUI interface.
Bibliografia:http://dx.doi.org/10.1111/ecog.01881
ArticleID:ECOG1881
ark:/67375/WNG-F3D51438-W
istex:5DB42C95B5F8187DAA44D128B34735F72FE57591
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0906-7590
1600-0587
DOI:10.1111/ecog.01881