Abstract
This paper presents a formalized ontological framework for the analysis of classifications of geographic objects. We present a set of logical principles that guide geographic classifications and then demonstrate their application on a practical example of the classification of ecosystems of Southeast Alaska. The framework has a potential to be used to facilitate interoperability between geographic classifications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
E. Lynn Usery. Category theory and the structure of features in geographic information systems. Cartography and Geographic information systems, 20(1):5–12, 1993.
David T Cleland, Peter E Avers, W Henry McNab, Mark E Jensen, Robert G Bailey, Thomas King, and Walter E Russell. National hierarchical framework of ecological units. In Mark S. Boyce and Alan W. Haney, editors, Ecosystem Management Applications for Sustainable Forest and Wildlife Resources, pages 181–200. Yale University Press, New Haven, CT, 1997.
Gregory Nowaki, Michael Shephard, Patricia Krosse, William Pawuk, Gary Fisher, James Baichtal, David Brew, Everett Kissinger, and Terry Brock. Ecological subsections of southeastern Alaska and neighboring areas of Canada. Technical Report R10-TP-75, USDA Forest Service, Alaska Region, October 2001.
Barry Smith, Jacob Khler, and Anand Kumar. On the application of formal principles to life science data: A case study in the gene ontology. In E Rahm, editor, Database Integration in the Life Sciences (DILS 2004). Springer, Berlin, 2004. forthcoming.
Harold P Cook and Hugh Tredennick. Aristotle: The Categories, On Interpretation, Prior Anlytics. Harvard University Press, Cambridge, Massachusetts, 1938.
Peter Simons. Parts, A Study in Ontology. Clarendon Press, Oxford, 1987.
P. Rigaux and M. Scholl. Multi-scale partitions: Application to spatial and statistical databases. In M. Egenhofer and J. Herring, editors, Advances in Spatial Databases (SSD’95), number 951 in Lecture Notes in Computer Science, pages 170–184. Springer-Verlag, Berlin, 1995.
T. Bittner and J.G. Stell. Stratified rough sets and vagueness. In W. Kuhn, M. Worboys, and S. Timpf, editors, Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. International Conference COSIT’03, pages 286–303. Springer, 2003.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sorokine, A., Bittner, T. (2005). Understanding Taxonomies of Ecosystems: a Case Study. In: Developments in Spatial Data Handling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26772-7_42
Download citation
DOI: https://doi.org/10.1007/3-540-26772-7_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22610-9
Online ISBN: 978-3-540-26772-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)