Exploratory Analysis of Spatial and Temporal Data

A Systematic Approach

  • Andrienko Natalia 
  • Gennady Andrienko

Table of contents

  1. Front Matter
    Pages I-XV
  2. Pages 1-16
  3. Pages 17-46
  4. Pages 47-161
  5. Pages 163-459
  6. Pages 461-633
  7. Pages 635-637
  8. Back Matter
    Pages 639-703

About this book

Introduction

Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing.

The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration.

Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.

Keywords

Data Visualization GIS Geographical Information Systems Spatial Data Temporal Data Visual Analytics classification data analysis geographic data information system

Authors and affiliations

  • Andrienko Natalia 
    • 1
  • Gennady Andrienko
    • 1
  1. 1.Fraunhofer Institute AISSankt AugustinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-31190-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-25994-7
  • Online ISBN 978-3-540-31190-4
  • About this book