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Automated pre-processing strategies for species occurrence data used in biodiversity modelling

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Heap, M. J. and Culham, A. (2010) Automated pre-processing strategies for species occurrence data used in biodiversity modelling. Lecture Notes in Computer Science: Lecture Notes in Artificial Intelligence, Part I (6279). pp. 517-526. ISSN 0302-9743

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To link to this article DOI: 10.1007/978-3-642-15384-6

Abstract/Summary

To construct Biodiversity richness maps from Environmental Niche Models (ENMs) of thousands of species is time consuming. A separate species occurrence data pre-processing phase enables the experimenter to control test AUC score variance due to species dataset size. Besides, removing duplicate occurrences and points with missing environmental data, we discuss the need for coordinate precision, wide dispersion, temporal and synonymity filters. After species data filtering, the final task of a pre-processing phase should be the automatic generation of species occurrence datasets which can then be directly ’plugged-in’ to the ENM. A software application capable of carrying out all these tasks will be a valuable time-saver particularly for large scale biodiversity studies.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Walker Institute for Climate System Research
Faculty of Life Sciences > School of Biological Sciences > Environmental Biology
ID Code:7709
Uncontrolled Keywords:Biodiversity richness; environmental niche modelling; preprocessing species occurrence data; automated filtering and occurrence file generation.
Additional Information:Knowledge-Based and Intelligent Information and Engineering Systems 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part IV
Publisher:Springer-Verlag Berlin Heidelberg
Publisher Statement:The original publication is available at www.springerlink.com

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