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Content Provider | IEEE Xplore Digital Library |
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Author | Graniero, P.A. |
Copyright Year | 1999 |
Description | Author affiliation: Dept. of Geogr., Toronto Univ., Ont., Canada (Graniero, P.A.) |
Abstract | Ecosystems generally have a great number of interacting processes, and their characteristics can vary rapidly across both space and time. With such complexity, it can be difficult to collect sufficient data to adequately understand the behaviour of the observed system. This paper describes a method being used to examine the relationship between sampling accuracy and classification fuzziness. A simulation model acts as a surrogate for a "real-world" resource-habitat system. Samples are collected from the running simulation according to different classification schemes, and the ability to map species habitat by resource levels from each sample are compared to the actual simulation behaviour. The balance between sampling accuracy and the vagueness within the classification scheme compared to the complexity of the modelled system is discussed. |
Starting Page | 829 |
Ending Page | 833 |
File Size | 518279 |
Page Count | 5 |
File Format | |
ISBN | 0780352114 |
DOI | 10.1109/NAFIPS.1999.781810 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1999-06-10 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Spatiotemporal phenomena Sampling methods Data acquisition Ecosystems Biological system modeling Time measurement Hydrologic measurements Density measurement Geography Humans |
Content Type | Text |
Resource Type | Article |
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