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DynaMoVis: Visualization of dynamic models for urban modeling / Joel R. Dearden; Mark W. Jones; Alan G. Wilson

The Visual Computer, Volume: 31, Issue: 6-8, Pages: 1079 - 1088

Swansea University Author: Jones, Mark

DOI (Published version): 10.1007/s00371-015-1096-9

Abstract

In association with Urban modelers, we have created DynaMoVis, a system for the visualization of dynamic models. The prediction of the evolution of urban and ecological systems is difficult because they are complex nonlinear systems that exhibit self-organization, emergence and path dependence. With...

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Published in: The Visual Computer
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa20644
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spelling 2019-06-14T16:55:55Z v2 20644 2015-04-14 DynaMoVis: Visualization of dynamic models for urban modeling Mark Jones Mark Jones true 0000-0001-8991-1190 false 2e1030b6e14fc9debd5d5ae7cc335562 dda0c29127c698255a4c2b822dd94125 uiPdnV+XNibOpUxFjI3lXQgr5y2nBRz3haj4DmVVDsQ= 2015-04-14 SCS In association with Urban modelers, we have created DynaMoVis, a system for the visualization of dynamic models. The prediction of the evolution of urban and ecological systems is difficult because they are complex nonlinear systems that exhibit self-organization, emergence and path dependence. Without a good understanding of the dynamics, interventions might have unintended side-effects. This study aims to make progress in the understanding of dynamic models in the application areas of urban modelling. Analyzing these simulations is challenging due to the large amount of data generated and the high-dimensional nature of the system. We present a visualization system for exploring the behavior of a simulation from many different points of view. The system contains a number of different modes which allow exploration of: the simulation parameter space, the introduction and effect of noise on the simulation and the basins of attraction in the phase space of the simulation. Through use of this system it has been possible to develop a deeper understanding of the inter-dependencies in the models, their parameter spaces and corresponding phase spaces. Journal article The Visual Computer 31 6-8 1079 1088 Dynamic Models, Urban Modeling, Visualization 7 5 2015 2015-05-07 10.1007/s00371-015-1096-9 College of Science Computer Science CSCI SCS Visual Computing None 2019-06-14T16:55:55Z 2015-04-14T09:18:39Z College of Science Computer Science Joel R. Dearden 0000-0002-2973-9592 1 Mark W. Jones 0000-0001-8991-1190 2 Alan G. Wilson 0000-0002-7495-6617 3 0020644-15042015115649.pdf DynaMoVis__Visualization__of__dynamic__models__for__urban__modeling.pdf 2015-04-15T11:56:49Z Output 7071134 application/pdf AM true Updated Copyright 14/06/2019 2016-04-14T00:00:00 true
title DynaMoVis: Visualization of dynamic models for urban modeling
spellingShingle DynaMoVis: Visualization of dynamic models for urban modeling
Jones, Mark
title_short DynaMoVis: Visualization of dynamic models for urban modeling
title_full DynaMoVis: Visualization of dynamic models for urban modeling
title_fullStr DynaMoVis: Visualization of dynamic models for urban modeling
title_full_unstemmed DynaMoVis: Visualization of dynamic models for urban modeling
title_sort DynaMoVis: Visualization of dynamic models for urban modeling
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Jones, Mark
author Jones, Mark
author2 Joel R. Dearden
Mark W. Jones
Alan G. Wilson
format Journal article
container_title The Visual Computer
container_volume 31
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container_start_page 1079
publishDate 2015
institution Swansea University
doi_str_mv 10.1007/s00371-015-1096-9
college_str College of Science
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hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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researchgroup_str Visual Computing
description In association with Urban modelers, we have created DynaMoVis, a system for the visualization of dynamic models. The prediction of the evolution of urban and ecological systems is difficult because they are complex nonlinear systems that exhibit self-organization, emergence and path dependence. Without a good understanding of the dynamics, interventions might have unintended side-effects. This study aims to make progress in the understanding of dynamic models in the application areas of urban modelling. Analyzing these simulations is challenging due to the large amount of data generated and the high-dimensional nature of the system. We present a visualization system for exploring the behavior of a simulation from many different points of view. The system contains a number of different modes which allow exploration of: the simulation parameter space, the introduction and effect of noise on the simulation and the basins of attraction in the phase space of the simulation. Through use of this system it has been possible to develop a deeper understanding of the inter-dependencies in the models, their parameter spaces and corresponding phase spaces.
published_date 2015-05-07T20:58:18Z
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