An R model to estimate the relative abundance of species from presence-absence data

This record contains R code for a model that estimates the relative abundance of species using only presence-absence data. It is demonstrated using two examples with Antarctic mosses: One that explains spatial patterns along a water availability gradient, and one that explains temporal changes betwe...

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Bibliographic Details
Other Authors: ASHCROFT, MICHAEL B. (hasPrincipalInvestigator), ASHCROFT, MICHAEL B. (processor), Australian Antarctic Data Centre (publisher)
Format: Dataset
Language:unknown
Published: Australian Antarctic Data Centre
Subjects:
biota
MOSSES/HORNWORTS/LIVERWORTS
EARTH SCIENCE
BIOLOGICAL CLASSIFICATION
PLANTS
DYNAMIC VEGETATION/ECOSYSTEM MODELS
EARTH SCIENCE SERVICES
MODELS
Computer &gt
Computer
GEOGRAPHIC REGION &gt
POLAR
CONTINENT &gt
ANTARCTICA
Antarctic
Antarc*
Antarctica
Online Access:https://researchdata.ands.org.au/an-r-model-presence-absence/995731
https://doi.org/10.4225/15/5a26170cc27ef
https://data.aad.gov.au/metadata/records/AAS_4046_Estimate_Abundance_Model
http://nla.gov.au/nla.party-617536
Description
Summary:This record contains R code for a model that estimates the relative abundance of species using only presence-absence data. It is demonstrated using two examples with Antarctic mosses: One that explains spatial patterns along a water availability gradient, and one that explains temporal changes between 2000 and 2013. It could be modified to work with other species or datasets.

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