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Geographic Information Science & Technology Body of Knowledge, 2005
Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
D. Griffith
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Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
D. Griffith
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Hidden negative spatial autocorrelation
Mostly lip service treatments of negative spatial autocorrelation (NSA) appear in the literature, although spatial scientists confront it in practice. NSA was detected serendipitously in recalcitrant empirical analyses containing a sizeable amount of global positive spatial autocorrelation (PSA) unaccounted for by standard spatial statistical models ...
Daniel Griffith, Daniel A. Griffith
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Spatial hotspot detection in the presence of global spatial autocorrelation
International Journal of Geographical Information Science, 2023The presence of global spatial autocorrelation usually leads to the spurious identification of spatial hotspots and hinders the identification of local hotspots.
Jie Yang, Qiliang Liu, Min Deng
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Water Research, 2022
The distribution and fate of contaminants of emerging concern (CECs) was studied in relation to hydrological conditions, land use characteristics, and spatial contiguity in Houxi River.
Yiqing Zhang +10 more
semanticscholar +1 more source
The distribution and fate of contaminants of emerging concern (CECs) was studied in relation to hydrological conditions, land use characteristics, and spatial contiguity in Houxi River.
Yiqing Zhang +10 more
semanticscholar +1 more source
Negative Spatial Autocorrelation: One of the Most Neglected Concepts in Spatial Statistics
Negative spatial autocorrelation is one of the most neglected concepts in quantitative geography, regional science, and spatial statistics/econometrics in general.
Daniel A Griffith, Griffith Daniel A
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, 2020
To study the regional spatial pattern of China's green development and environmental governance, this paper adopts a spatial autocorrelation model to study the spatial differentiation and agglomeration effects of environmental pollution sources in 338 ...
Jie Zhang, Ke Zhang, Feng Zhao
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To study the regional spatial pattern of China's green development and environmental governance, this paper adopts a spatial autocorrelation model to study the spatial differentiation and agglomeration effects of environmental pollution sources in 338 ...
Jie Zhang, Ke Zhang, Feng Zhao
semanticscholar +1 more source
Spatial Interaction and Spatial Autocorrelation
2008The objective is to combine insights from two research traditions, spatial interaction modelling and spatial autocorrelation modelling, to deal with the issue of spatial autocorrelation in spatial interaction data analysis. First, the problem is addressed from an exploratory perspective for which a generalisation of the Getis–Ord G statistic is ...
Fischer, Manfred M. +2 more
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The analysis of spatial distributions and the processes that produce and alter them is a central theme in geographic research and this volume is concerned with statistical methods for analyzing spatial distributions by measuring and testing for spatial ...
Odland, John
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