Exploratory Analysis of Massive Movement Data

Anita Graser (), Melitta Dragaschnig () and Hannes Koller ()
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Anita Graser: AIT Austrian Institute of Technology
Melitta Dragaschnig: University of Salzburg
Hannes Koller: AIT Austrian Institute of Technology

Chapter Chapter 12 in Handbook of Big Geospatial Data, 2021, pp 285-319 from Springer

Abstract: Abstract Movement is a dynamic process that is increasingly being monitored by a variety of tracking systems. As a consequence, analysts who are trying to understand movement processes are confronted with growing movement datasets. Yet, there are no established analysis tools that support analysts in understanding these datasets and in asking the right analysis questions. Exploratory data analysis (EDA) is an approach that helps analysts to identify the main characteristics of datasets and to generate hypothesis. This chapter provides an overview of common tasks related to the exploratory analysis of massive movement datasets in GIScience and GISystems. It lays out conceptual and technical challenges related to these tasks and provides recommendations for performing exploratory analysis of massive movement data.

Date: 2021
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DOI: 10.1007/978-3-030-55462-0_12

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