Logo - springer
Slogan - springer

Computer Science - Information Systems and Applications | Exploratory Analysis of Spatial and Temporal Data - A Systematic Approach

Exploratory Analysis of Spatial and Temporal Data

A Systematic Approach

Andrienko, Natalia, Andrienko, Gennady

2006, XVI, 704 p. 282 illus., 37 illus. in color.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$219.00

(net) price for USA

ISBN 978-3-540-31190-4

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$279.00

(net) price for USA

ISBN 978-3-540-25994-7

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

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.

Content Level » Research

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

Related subjects » Database Management & Information Retrieval - Earth Sciences & Geography - Geographical Information Systems - Information Systems and Applications

Table of contents / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computer Applications.