Exploring Changes in Census Time Series with Interactive Dynamic Maps and Graphics
Natalia Andrienko,
Gennady Andrienko and
Peter Gatalsky
Additional contact information
Natalia Andrienko: GMD — German National Research Center for Information Technology, Institute for Autonomous Intelligent Systems
Gennady Andrienko: GMD — German National Research Center for Information Technology, Institute for Autonomous Intelligent Systems
Peter Gatalsky: GMD — German National Research Center for Information Technology, Institute for Autonomous Intelligent Systems
Computational Statistics, 2001, vol. 16, issue 3, No 8, 417-433
Abstract:
Summary Interactive graphical tools are available in a number of statistical packages. However, none of them provide interactive tools for visual exploration of time series data that have spatial reference (spatio-temporal data), such as census data. Analysis of spatio-temporal data requires simultaneous representation of their spatial, temporal, and thematic aspects. We propose a system that combines interactive thematic maps, dynamic statistical graphics, and advanced controls for manipulating them. These components as well as interaction between them are specifically designed in order to support visual investigation of changes in data, the ultimate goal being to help users to reveal spatio-temporal trends. The suggested tools facilitate also detecting errors and anomalies in data.
Keywords: Spatio-temporal data; Interactive dynamic graphics; Linked displays; Exploratory data analysis (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s001800100076 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:16:y:2001:i:3:d:10.1007_s001800100076
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2
DOI: 10.1007/s001800100076
Access Statistics for this article
Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik
More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().