Exploring spatial scale, autocorrelation and nonstationarity of bird species richness patterns

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dc.contributor.author Holloway, Paul
dc.contributor.author Miller, Jennifer A.
dc.date.accessioned 2019-10-24T15:01:54Z
dc.date.available 2019-10-24T15:01:54Z
dc.date.issued 2015-05-05
dc.identifier.citation Holloway, P. and Miller, J. A. (2015) 'Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns', ISPRS International Journal of Geo-Information, 4(2), pp. 783-798. doi: 10.3390/ijgi4020783 en
dc.identifier.volume 4 en
dc.identifier.issued 2 en
dc.identifier.startpage 783 en
dc.identifier.endpage 798 en
dc.identifier.issn 2220-9964
dc.identifier.uri http://hdl.handle.net/10468/8856
dc.identifier.doi 10.3390/ijgi4020783 en
dc.description.abstract In this paper we explore relationships between bird species richness and environmental factors in New York State, focusing particularly on how spatial scale, autocorrelation and nonstationarity affect these relationships. We used spatial statistics, Getis-Ord Gi*(d), to investigate how spatial scale affects the measurement of richness “hot-spots” and “cold-spots” (clusters of high and low species richness, respectively) and geographically weighted regression (GWR) to explore scale dependencies and nonstationarity in the relationships between richness and environmental variables such as climate and plant productivity. Finally, we introduce a geovisualization approach to show how these relationships are affected by spatial scale in order to understand the complex spatial patterns of species richness. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.relation.uri https://www.mdpi.com/2220-9964/4/2/783
dc.rights © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Birds en
dc.subject Geographically weighted regression en
dc.subject Scale en
dc.subject Species richness en
dc.title Exploring spatial scale, autocorrelation and nonstationarity of bird species richness patterns en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Paul Holloway, Geography, University College Cork, Cork, Ireland. +353-21-490-3000 Email: paul.holloway@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-10-24T14:57:24Z
dc.description.version Published Version en
dc.internal.rssid 412684566
dc.description.status Peer reviewed en
dc.identifier.journaltitle ISPRS International Journal of Geo-Information en
dc.internal.copyrightchecked No
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress paul.holloway@ucc.ie en


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© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
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