Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
The visual display of quantitative information
The visual display of quantitative information
Envisioning information
Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Dynamic queries for information exploration: an implementation and evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using aggregation and dynamic queries for exploring large data sets
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Characterizing interactive externalizations
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Exploring spatial data representation with dynamic graphics
Computers & Geosciences - Special issue on exploratory cartographic visualization
Visualizing Data
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
A Knowledge-Based System for Visualization Design
IEEE Computer Graphics and Applications
VICKI: the VIsualisation Construction KIt
AVI '96 Proceedings of the workshop on Advanced visual interfaces
Semiology of graphics
Data Characterization Schema for Intelligent Support in Visual Data Analysis
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Knowledge-Based Visualization to Support Spatial Data Mining
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
| Hi-index | 0.00 |
To analyze spatially referenced data, i.e. data referring to geographical objects or locations, one should present them on a map. IRIS is a software system that supports exploration of such data by providing two main services: 1) automated generation of maps and 2) interactive facilities to dynamically manipulate the maps. Automated mapping is enabled by incorporation of generic knowledge on map design. This prevents errors in map design resulting in useless or even misleading presentations. It also helps save users' time and efforts as compared to data visualization with the existing mapping software.Unlike paper maps, a map on the computer screen can dynamically change in response to various interactive manipulations. It is possible to design such interactive operations that will significantly promote data exploration. Within IRIS project we develop for each data presentation method a specific interactive tool that exploits the peculiarities of this method and facilitates fulfilling the analysis tasks the method is best suitable for.Currently researches in automated data visualization design and in dynamic manipulation are developed separately whereas these are two complementary instruments to support data exploration. In this paper we show how we integrate these two instruments in IRIS.