• Metadata Catalogue
  •   Search
  •   Map

sdmpredictors R package

The goal of sdmpredictors is to make environmental data, commonly used for species distribution modelling (SDM), also called ecological niche modelling (ENM) or habitat suitability modelling, easy to use in R. sdmpredictors gives access to several environmental datasets, including the the Bio-ORACLE Marine Data Layers for Bioclimatic Modelling. LifeWatch hosts the website https://www.bio-oracle.org/ and supports the development of these layers. The package contains methods for getting downloading raster data for the current climate but also for future and paleo climatic conditions. These rasters and then loaded into R.

Default

Date ( Creation)
2016-09-26
Date ( Revision)
2021-09-24
Status
On going / operational
Creator
  Flanders Marine Institute - Salvador Fernández Bejarano

Creator
  Institute for Agricultural and Fisheries Research (ILVO) - Samuel Bosch

Custodian
  Flanders Marine Institute - Salvador Fernández Bejarano

Keywords

marine

Keywords

environmental

Keywords

modelling

Keywords

climate change

Keywords

terrestrial

Keywords

biogeography

Keywords

R

Access constraints
License
Use limitation

https://github.com/lifewatch/sdmpredictors/blob/master/LICENSE.md

OnLine resource
Package website (

WWW:LINK-1.0-http--link

)
OnLine resource
sdmpredictors on CRAN (

WWW:LINK-1.0-http--link

)
OnLine resource
sdmpredictors on GitHub (

WWW:LINK-1.0-http--link

)
Operation name

Bio-Oracle dataset

Web site

https://bio-oracle.org/

Description

Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms.

Function

The Bio-ORACLE main purpose is to be used together with biological occurrence for fitting Species Distribution Models and predict future distribution of species.

Operation name

WorldClim

Web site

http://www.worldclim.org/

Description

WorldClim is a set of global climate layers (climate grids).

Function

WorldClim can be used together with biological occurrence for fitting Species Distribution Models and predict future distribution of species.

Operation name

MARSPEC

Web site

http://marspec.org/

Description

MARSPEC is a set of high resolution climatic and geophysical GIS data layers for the world ocean.

Function

MARSPEC can be used together with biological occurrence for fitting Species Distribution Models and predict future distribution of species.

Operation name

ENVIREM

Web site

https://envirem.github.io/

Description

The ENVIREM dataset is a set of 16 climatic and 2 topographic variables that can be used in modeling species' distributions. The strengths of this dataset include their close ties to ecological processes, and their availability at a global scale, at several spatial resolutions, and for several time periods.

Function

ENVIREM can be used together with biological occurrence for fitting Species Distribution Models and predict future distribution of species.

Operation name

Freshwater

Web site

https://www.earthenv.org/streams

Description

The dataset consists of near-global, spatially continuous, and freshwater-specific environmental variables in a standardized 1km grid.

Function

Freshwater can be used together with biological occurrence for fitting Species Distribution Models and predict future distribution of species.

Topic Category
Oceanographic geographical features
Service Category

data analysis

Service Category

data processing

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

sdmpredictors is maintained and developed by a consortium of researchers, data managers and IT personnel from 4 institutions: Flanders Marine Institute, University of Algarve, Institute for Agricultural and Fisheries Research and University of Ghent. The maintenance and current developments of the package are carried out by the Flanders Marine Institute, currently with the funding of the LifeWatch Belgium project.

Service Helpdesk

https://github.com/lifewatch/sdmpredictors/issues

Service Training

https://lifewatch.github.io/sdmpredictors/articles/quickstart.html

Service User Manual

https://lifewatch.github.io/sdmpredictors/reference/index.html

Metadata

File identifier
0cf43cf8-ec14-4c37-85eb-23cccb5610b2 XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

0.2.10

 
 

Overviews

overview

Spatial extent

Keywords



Provided by

logo
Access to the portal
Read here the full details and access to the data.