Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11620%2F14%3A10285290" target="_blank" >RIV/00216208:11620/14:10285290 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/ddi.12199" target="_blank" >http://dx.doi.org/10.1111/ddi.12199</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/ddi.12199" target="_blank" >10.1111/ddi.12199</a>
Alternative languages
Result language
angličtina
Original language name
Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions
Original language description
We provide a step-by-step demonstration of how a map of species' detections at continental extent can be downscaled to a fine-grain map of occurrence probabilities using a two-scale hierarchical Bayesian modelling (HBM). The method requires fine-grain environmental data, but it does not require fine-grain data on species detections. We demonstrate how it can incorporate spatial autocorrelation (SAC) and informative priors based on known habitat preferences, and how it can provide maps of uncertainty about the downscaled predictions.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Diversity and Distributions
ISSN
1366-9516
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
797-812
UT code for WoS article
000337593000006
EID of the result in the Scopus database
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