Spatio-ecological complexity measures in GRASS GIS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00305648" target="_blank" >RIV/68407700:21110/17:00305648 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0098300416301285" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0098300416301285</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cageo.2016.05.006" target="_blank" >10.1016/j.cageo.2016.05.006</a>
Alternative languages
Result language
angličtina
Original language name
Spatio-ecological complexity measures in GRASS GIS
Original language description
Good estimates of ecosystem complexity are essential for a number of ecological tasks: from biodiversity estimation, to forest structure variable retrieval, to feature extraction by edge detection and generation of multifractal surface as neutral models for e.g. feature change assessment. Hence, measuring ecological complexity over space becomes crucial in macroecology and geography. Many geospatial tools have been advocated in spatial ecology to estimate ecosystem complexity and its changes over space and time. Among these tools, free and open source options especially offer opportunities to guarantee the robustness of algorithms and reproducibility. In this paper we will summarize the most straightforward measures of spatial complexity available in the Free and Open Source Software GRASS GIS, relating them to key ecological patterns and processes.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers & Geosciences
ISSN
0098-3004
e-ISSN
1873-7803
Volume of the periodical
104
Issue of the periodical within the volume
July
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
166-176
UT code for WoS article
000402352900018
EID of the result in the Scopus database
2-s2.0-84971657691