Modelling species distributions with remote sensing data: bridging disciplinary perspectives
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33144866" target="_blank" >RIV/61989592:15310/13:33144866 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/jbi.12199" target="_blank" >http://dx.doi.org/10.1111/jbi.12199</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jbi.12199" target="_blank" >10.1111/jbi.12199</a>
Alternative languages
Result language
angličtina
Original language name
Modelling species distributions with remote sensing data: bridging disciplinary perspectives
Original language description
The objective of this article was to reflect on the various facets of using RS in SDMs in an effort to bridge disciplinary perspectives. We discussed how the application of RS data in SDMs can be improved by (1) a greater awareness of the differing sample size and characteristics of RS and ecological data, (2) the combination of different RS predictors in multi-scale modelling frameworks, (3) the use of RS data to infer information on species absence, and (4) a clearer definition of the modelling purpose.
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
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Biogeography
ISSN
0305-0270
e-ISSN
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Volume of the periodical
40
Issue of the periodical within the volume
12
Country of publishing house
GB - UNITED KINGDOM
Number of pages
2
Pages from-to
2226-2227
UT code for WoS article
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EID of the result in the Scopus database
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