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We used localized descriptive statistics (e.g., localized mean, standard deviation, and correlation coefficient), local Moran’s I and a nonparametric test to explore the spatial patterns, variations, and autocorrelations of bird species richness changes, and the spatial association between bird species richness changes and three climatic variables in New York State at multiple spatial scales. We found...
Adaptation to climate change requires urban water providers to develop a complex understanding of how temperature affects water use patterns. We used a geographic information system and statistical analysis to compare the spatial relationships among single-family residential water use patterns, land use characteristics, and temperature in Portland, Oregon and Phoenix, Arizona. We developed mean water...
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