Constructing Wildebeest Density Distributions by Spatio-temporal Smoothing of Ordinal Categorical Data Using GAMs

Ferguson, E. A., Matthiopoulos, J. and Husmeier, D. (2017) Constructing Wildebeest Density Distributions by Spatio-temporal Smoothing of Ordinal Categorical Data Using GAMs. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 70-75.

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Abstract

Spatio-temporal smoothing of large ecological datasets describing species distributions can be made challenging by high computational costs and deficiencies in the available data. We present an application of a GAM-based smoothing method to a large ordinal categorical dataset on the distribution of wildebeest in the Serengeti ecosystem.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:FERGUSON, Elaine and Matthiopoulos, Professor Jason and Husmeier, Professor Dirk
Authors: Ferguson, E. A., Matthiopoulos, J., and Husmeier, D.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in Proceedings of the 32nd International Workshop on Statistical Modelling: 70-75
Publisher Policy:Reproduced with the permission of the Editor
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