ENMTools R package - Analysis of Niche Evolution using Niche and Distribution Models

The package includes algorithms for presence-background (Maxent) and presence-absence (GAM, GLM). It allows to construct niche models and analyze patterns of niche evolution. It acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography.

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Date ( Publication)
2023-04-11
Status
Completed
Author
  Biodiversity and Biocomplexity Unit, Okinawa Inst. of Science and Technology, Okinawa, Japan - Dan Warren

Creator
  School of Biological Sciences, Univ. of Auckland, Auckland, New Zealand - Nicholas Matzke

Creator
  Macroevolution Macroecology Group, Research School of Biology, Australian National Univ., Canberra, Australia - Marcel Cardillo

  Centre of Excellence for Biosecurity Risk Analysis (CEBRA), Univ. of Melbourne, Melbourne, Australia - John Baumgartner

  Dept of Biological Sciences, Macquarie Univ., Australia. – M. Turelli, Dept of Evolution and Ecology, Univ. of California, Davis, CA, USA - Linda Beaumont

  Integrative Ecology Lab, Center for Biodiversity, Dept of Biology, Temple Univ., Philadelphia, PA, USA - Nicholas Huron

  Senckenberg Deutsches Entomologisches Inst. (SDEI), Müncheberg, Germany - Marianna Simões

  Animal Resources Section, Okinawa Inst. of Science and Technology, Okinawa, Japan - Teresa Iglesias

Creator
  Macroevolution Macroecology Group, Research School of Biology, Australian National Univ., Canberra, Australia - Russell Dinnage

Keywords

modelling
Keywords

biogeography
Keywords

SDM
Keywords

species distribution modelling
Keywords

presence-absence
Keywords

presence background
Keywords

niche modelling
Keywords

R
Access constraints
License
Use limitation

https://cran.r-project.org/web/licenses/GPL-2

OnLine resource
CRAN link (

WWW:LINK-1.0-http--link

 )
OnLine resource
Development site (

WWW:LINK-1.0-http--link

 )
Required Services

R (>= 2.10)
Topic Category
Species distribution
Service Category

data collection and preparation
Service Category

model computation
Service Category

model comparison
Service Category

data processing
Service Category

modelling
Service Language
eng
Service TRL
TRL 9 – Actual system proven in operational environment
Service Training

https://onlinelibrary.wiley.com/doi/10.1111/ecog.05485

Metadata

File identifier
b89b7275-bbf1-426a-a859-97e7be2f7162 XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

1.1.1
 
 

Overviews

overview
biogeography.jpg

Spatial extent

Keywords



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