Tsutsumida, N, Harris, P and Comber, A orcid.org/0000-0002-3652-7846 (2017) The Application of a Geographically Weighted Principal Component Analysis for Exploring Twenty-three Years of Goat Population Change across Mongolia. Annals of the American Association of Geographers, 107 (5). pp. 1060-1074. ISSN 2469-4452
Abstract
The dzud are extreme weather events in Mongolia of deep snow, severe cold, or other conditions that render forage unavailable or inaccessible, which in turn results in extensive livestock deaths. Mongolia is economically vulnerable to extreme events due to an increase in nonprofessional herders and the livestock population, brought about by a deregularized industry. Thus, it is hugely informative to try to understand the spatial and temporal trends of livestock population change. To this end, annual livestock census data are exploited and a geographically weighted principal component analysis (GWPCA) is applied to goat data recorded from 1990 to 2012 in 341 regions. This application of GWPCA to temporal data is novel and is able to account for both temporal and spatial patterns in goat population change. Furthermore, the GWPCA methodology is extended to simultaneously optimize the number of components to retain and the kernel bandwidth. In doing so, this study not only advances the GWPCA method but provides a useful insight into the spatiotemporal variations of the Mongolian goat population.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 by American Association of Geographers. This is an Accepted Manuscript of an article published by Taylor & Francis in Annals of the American Association of Geographers on 31 May 2017, available online: http://www.tandfonline.com/10.1080/24694452.2017.1309968. |
Keywords: | grasslands, GWmodel, livestock, spatiotemporal, sustainability |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Apr 2017 13:20 |
Last Modified: | 14 Nov 2020 11:32 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/24694452.2017.1309968 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115651 |