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

Heap, M. J. and Culham, A. ORCID: https://orcid.org/0000-0002-7440-0133 (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 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.

Additional Information	Knowledge-Based and Intelligent Information and Engineering Systems 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part IV
Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/7709
Identification Number/DOI	10.1007/978-3-642-15384-6
Refereed	Yes
Divisions	Interdisciplinary Research Centres (IDRCs) > Walker Institute Life Sciences > School of Biological Sciences > Ecology and Evolutionary Biology
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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