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DynaMoVis: Visualization of dynamic models for urban modeling / Mark, Jones; Joel, Dearden

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

Swansesa University Authors: Mark, Jones, Joel, Dearden

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 2019-06-14T16:55:55.3994735 v2 20644 2015-04-14 DynaMoVis: Visualization of dynamic models for urban modeling 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 863620fedcf9cc672b4fc70ffa668099 0000-0002-2973-9592 Joel Dearden Joel Dearden true false 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 NANME Computer Science COLLEGE CODE SCS Swansea University 2019-06-14T16:55:55.3994735 2015-04-14T09:18:39.2440187 College of Science Computer Science Joel Dearden 0000-0002-2973-9592 1 Mark 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 2015-04-15T11:56:49.0270000 Output 7071134 application/pdf Accepted Manuscript true 2016-04-14T00:00:00.0000000 true
title DynaMoVis: Visualization of dynamic models for urban modeling
spellingShingle DynaMoVis: Visualization of dynamic models for urban modeling
Mark, Jones
Joel, Dearden
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
863620fedcf9cc672b4fc70ffa668099
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark, Jones
863620fedcf9cc672b4fc70ffa668099_***_Joel, Dearden
author Mark, Jones
Joel, Dearden
format Journal article
container_title The Visual Computer
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publishDate 2015
institution Swansea University
doi_str_mv 10.1007/s00371-015-1096-9
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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 2015-05-07T12:35:17Z
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