MAPPING OF ALGAE RICHNESS USING SPATIAL DATA INTERPOLATION
This work describes the generation of a database of algal species richness at two spatial scales – regional (Gulf of Mexico and the Caribbean) and global (coastal zones). As a first approach to the definition of the temporal variability, and to produce the corresponding maps, a previously published...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-04-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1005/2015/isprsarchives-XL-7-W3-1005-2015.pdf |
Summary: | This work describes the generation of a database of algal species richness at two spatial scales – regional (Gulf of Mexico and the
Caribbean) and global (coastal zones). As a first approach to the definition of the temporal variability, and to produce the corresponding
maps, a previously published decision tree is used in order to select the best spatial interpolation technique according to the characteristics
of the spatial data. The methods presented are ordinary Kriging (since no relationship exists with any environmental variable that could
function as an external variable) and inverse distance squared, for comparative purposes. The methods to generate the spatial layers are
evaluated using the leave-one-out cross validation technique. Although the evaluation did not find a large correspondence (in terms of
linear regression) between the interpolated and measured values, it was possible to capture the spatial variability of the process and
produce the cartography of this variable, with which future ecological analyses can be performed. |
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ISSN: | 1682-1750 2194-9034 |