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Erschienen in:

2014 | OriginalPaper | Buchkapitel

66. Exploratory Spatial Data Analysis

verfasst von : Dr. Jürgen Symanzik

Erschienen in: Handbook of Regional Science

Verlag: Springer Berlin Heidelberg

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Abstract

In this chapter, we discuss key concepts for exploratory spatial data analysis (ESDA). We start with its close relationship to exploratory data analysis (EDA) and introduce different types of spatial data. Then, we discuss how to explore spatial data via different types of maps and via linking and brushing. A key technique for ESDA is local indicators of spatial association (LISA). ESDA needs to be supported by software. We discuss two main lines of software developments: GIS-based solutions and stand-alone solutions.

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Vorheriges Kapitel Spatial Data and Statistical Methods: A Chronological Overview

Nächstes Kapitel Spatial Clustering and Autocorrelation in Health Events

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Titel: Exploratory Spatial Data Analysis
verfasst von: Dr. Jürgen Symanzik
Verlag: Springer Berlin Heidelberg
Buch: Handbook of Regional Science
Print ISBN: 978-3-642-23429-3

Electronic ISBN: 978-3-642-23430-9

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-23430-9_76

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