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The Analysis Models of Exploratory Spatial Data

Zhang Xue-liang

Open publisher page 3 citations

Abstract

Exploratory spatial data analysis is used to explain the phenomena of spatial dependence,spatial correlation and spatial autocorrelation which are relevant with spatial locations.As an important field in spatial econometrics,its application is becoming more and more widespread internationally.This paper gives an overall introduction to its models,and indicates its application in the future.

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What this paper is about

Exploratory spatial data analysis is used to explain the phenomena of spatial dependence,spatial correlation and spatial autocorrelation which are relevant with spatial locations.As an important field in spatial econometrics,its application is becoming more and more widespread internationally.This paper gives an overall introduction to its models,and indicates its application in the future.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Exploratory spatial data analysis is used to explain the phenomena of spatial dependence,spatial correlation and spatial autocorrelation which are relevant with spatial locations.As an important field in spatial econometrics,its application is becoming more and more widespread internationally.This paper gives an overall introduction to its models,and indicates its application in the future.

Key concepts: Spatial analysis, Spatial econometrics, Spatial dependence, Field (mathematics), Spatial correlation, Exploratory data analysis, Computer science, Econometrics

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