Multifractals for ecological spatial data
Presentation given on IMCOAST (Impact of climate induced glacial melting on marine coastal systems in the Western Antarctic Peninsula region) workshop held in Buenos Aires, Argentina, april 2012. Abstract: Multifractal theory can be used as a method specially suitable to analyze ecological spatial d...
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ftdatacite:10.6084/m9.figshare.91374.v3 2023-05-15T13:33:47+02:00 Multifractals for ecological spatial data Saravia, Leonardo 2012 https://dx.doi.org/10.6084/m9.figshare.91374.v3 https://figshare.com/articles/presentation/Multifractals_for_ecological_spatial_data/91374/3 unknown figshare https://dx.doi.org/10.6084/m9.figshare.91374 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Ecology FOS Biological sciences Presentation MediaObject article Audiovisual 2012 ftdatacite https://doi.org/10.6084/m9.figshare.91374.v3 https://doi.org/10.6084/m9.figshare.91374 2021-11-05T12:55:41Z Presentation given on IMCOAST (Impact of climate induced glacial melting on marine coastal systems in the Western Antarctic Peninsula region) workshop held in Buenos Aires, Argentina, april 2012. Abstract: Multifractal theory can be used as a method specially suitable to analyze ecological spatial data. Density distributions or individual distributions of one or several species can be characterized using this kind of analysis. Data that are very difficult to characterize with averages due to its very irregular nature or due to its non-stationarity can be analyzed using this techniques. Comparisons against null models can be done using randomization procedures and the existence of different underlying processes can be hypothesized. An open source software package was developed to perform this analysis. Conference Object Antarc* Antarctic Antarctic Peninsula DataCite Metadata Store (German National Library of Science and Technology) Antarctic Antarctic Peninsula Argentina |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Ecology FOS Biological sciences |
spellingShingle |
Ecology FOS Biological sciences Saravia, Leonardo Multifractals for ecological spatial data |
topic_facet |
Ecology FOS Biological sciences |
description |
Presentation given on IMCOAST (Impact of climate induced glacial melting on marine coastal systems in the Western Antarctic Peninsula region) workshop held in Buenos Aires, Argentina, april 2012. Abstract: Multifractal theory can be used as a method specially suitable to analyze ecological spatial data. Density distributions or individual distributions of one or several species can be characterized using this kind of analysis. Data that are very difficult to characterize with averages due to its very irregular nature or due to its non-stationarity can be analyzed using this techniques. Comparisons against null models can be done using randomization procedures and the existence of different underlying processes can be hypothesized. An open source software package was developed to perform this analysis. |
format |
Conference Object |
author |
Saravia, Leonardo |
author_facet |
Saravia, Leonardo |
author_sort |
Saravia, Leonardo |
title |
Multifractals for ecological spatial data |
title_short |
Multifractals for ecological spatial data |
title_full |
Multifractals for ecological spatial data |
title_fullStr |
Multifractals for ecological spatial data |
title_full_unstemmed |
Multifractals for ecological spatial data |
title_sort |
multifractals for ecological spatial data |
publisher |
figshare |
publishDate |
2012 |
url |
https://dx.doi.org/10.6084/m9.figshare.91374.v3 https://figshare.com/articles/presentation/Multifractals_for_ecological_spatial_data/91374/3 |
geographic |
Antarctic Antarctic Peninsula Argentina |
geographic_facet |
Antarctic Antarctic Peninsula Argentina |
genre |
Antarc* Antarctic Antarctic Peninsula |
genre_facet |
Antarc* Antarctic Antarctic Peninsula |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.91374 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.91374.v3 https://doi.org/10.6084/m9.figshare.91374 |
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1766046029729234944 |