Exploring spatial scale, autocorrelation and nonstationarity of bird species richness patterns
Loading...
Files
Published version
Date
2015-05-05
Authors
Holloway, Paul
Miller, Jennifer A.
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Published Version
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.
Description
Keywords
Birds , Geographically weighted regression , Scale , Species richness
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