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

dc.contributor.authorHolloway, Paul
dc.contributor.authorMiller, Jennifer A.
dc.date.accessioned2019-10-24T15:01:54Z
dc.date.available2019-10-24T15:01:54Z
dc.date.issued2015-05-05
dc.date.updated2019-10-24T14:57:24Z
dc.description.abstractIn 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.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHolloway, 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/ijgi4020783en
dc.identifier.doi10.3390/ijgi4020783en
dc.identifier.endpage798en
dc.identifier.issn2220-9964
dc.identifier.issued2en
dc.identifier.journaltitleISPRS International Journal of Geo-Informationen
dc.identifier.startpage783en
dc.identifier.urihttps://hdl.handle.net/10468/8856
dc.identifier.volume4en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.urihttps://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.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBirdsen
dc.subjectGeographically weighted regressionen
dc.subjectScaleen
dc.subjectSpecies richnessen
dc.titleExploring spatial scale, autocorrelation and nonstationarity of bird species richness patternsen
dc.typeArticle (peer-reviewed)en
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