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2017•International Encyclopedia of GeographyRequires access

Exploratory Spatial Data Analysis

Diansheng Guo

Open publisher page 3 citations

Abstract

Exploratory spatial data analysis (ESDA) uses visual graphics (including maps), exploratory statistics, and computational algorithms to enable the analyst to interact with the data, identify patterns, search for hypotheses and discover unknown or unexpected information. This entry presents a brief summary of research challenges for ESDA and introduces a variety of ESDA methods developed in different domains.

About this research paper

What this paper is about

Exploratory spatial data analysis (ESDA) uses visual graphics (including maps), exploratory statistics, and computational algorithms to enable the analyst to interact with the data, identify patterns, search for hypotheses and discover unknown or unexpected information. This entry presents a brief summary of research challenges for ESDA and introduces a variety of ESDA methods developed in different domains.

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Available abstract

Exploratory spatial data analysis (ESDA) uses visual graphics (including maps), exploratory statistics, and computational algorithms to enable the analyst to interact with the data, identify patterns, search for hypotheses and discover unknown or unexpected information. This entry presents a brief summary of research challenges for ESDA and introduces a variety of ESDA methods developed in different domains.

Key concepts: Exploratory data analysis, Variety (cybernetics), Computer science, Exploratory analysis, Spatial analysis, Exploratory search, Graphics, Data exploration

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