Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns

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...

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Main Authors: Paul Holloway, Jennifer A. Miller
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/4/2/783
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author Paul Holloway
Jennifer A. Miller
author_facet Paul Holloway
Jennifer A. Miller
author_sort Paul Holloway
collection DOAJ
description 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.
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spelling doaj.art-55954675c80249af9efe07a264abcf1c2022-12-22T01:13:45ZengMDPI AGISPRS International Journal of Geo-Information2220-99642015-05-014278379810.3390/ijgi4020783ijgi4020783Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness PatternsPaul Holloway0Jennifer A. Miller1Department of Geography and the Environment, The University of Texas at Austin, 305 E 23rd Street, Austin, TX 78712, USADepartment of Geography and the Environment, The University of Texas at Austin, 305 E 23rd Street, Austin, TX 78712, USAIn 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.http://www.mdpi.com/2220-9964/4/2/783geographically weighted regressionscalespecies richnessbirds
spellingShingle Paul Holloway
Jennifer A. Miller
Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
ISPRS International Journal of Geo-Information
geographically weighted regression
scale
species richness
birds
title Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
title_full Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
title_fullStr Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
title_full_unstemmed Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
title_short Exploring Spatial Scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
title_sort exploring spatial scale autocorrelation and nonstationarity of bird species richness patterns
topic geographically weighted regression
scale
species richness
birds
url http://www.mdpi.com/2220-9964/4/2/783
work_keys_str_mv AT paulholloway exploringspatialscaleautocorrelationandnonstationarityofbirdspeciesrichnesspatterns
AT jenniferamiller exploringspatialscaleautocorrelationandnonstationarityofbirdspeciesrichnesspatterns