A framework for visualizing multivariate geodata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In urban planning, sophisticated simulation models are key tools to estimate future population growth for measuring the impact of planning decisions on urban developments and the environment. Simulated population projections usually result in bulky, large-scale, multivariate geospatial data sets. Millions of records have to be processed, stored, and visualized to help planners explore and analyze complex population patterns. This paper introduces a database driven framework for visualizing geospatial multivariate simulation data from UrbanSim, a software-based simulation model for the analysis and planning of urban developments. The designed framework is extendable and aims at integrating methods from information visualization and cartography into planning processes.

Original languageEnglish (US)
Title of host publication2nd Workshop of the DFG's International Research Training Group "Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling, and Engineering", VLUDS 2007
Pages13-22
Number of pages10
StatePublished - Dec 1 2008
Externally publishedYes
Event2nd Workshop of the DFG's International Research Training Group on Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling, and Engineering, VLUDS 2007 - Kaiserslautern, Germany
Duration: Sep 9 2007Sep 11 2007

Publication series

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
ISSN (Print)1617-5468

Conference

Conference2nd Workshop of the DFG's International Research Training Group on Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling, and Engineering, VLUDS 2007
CountryGermany
CityKaiserslautern
Period9/9/079/11/07

ASJC Scopus subject areas

  • Computer Science Applications

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