Visualizing alternative scenarios of evolution in heritage architecture

Our objective is to support reasoning tasks in heritage architecture with graphics enabling analysts to visualise and share their understanding of how, from a given set of information, alternative scenarios or evolution can be inferred. The paper comments on the nature of the cognitive processes in historical sciences, and on factors that need to be weighed when interpreting sets of information. Visual solutions are proposed, and illustrated on real cases in Kraków Poland. They help spotting where alternative explanations should be considered in order to avoid unjustified assumptions and certitudes on the evolution of artefacts. The contribution expects to demonstrate that reasoning on uncertainties in historical sciences can be fruitfully backed up by concepts and practices from the infovis community.

[1]  P K Bastable The Methods of Contemporary Thought , 1967 .

[2]  Wolfgang Kienreich,et al.  Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations , 2010, EuroVAST@EuroVis.

[3]  Iwona Dudek,et al.  Visual assessment of heritage architecture life cycles , 2008 .

[4]  Pip Forer,et al.  Activities, ringmaps and geovisualization of large human movement fields , 2008, Inf. Vis..

[5]  Józef Maria Bocheński The methods of contemporary thought , 1965 .

[6]  Sieghard Beller,et al.  How Knowledge Interferes with Reasoning – Suppression Effects by Content and Context , 2020, Proceedings of the Twenty First Annual Conference of the Cognitive Science Society.

[7]  Sara Irina Fabrikant,et al.  Visualization and classification of urban change patterns on the basis of state-space transitions , 2008 .

[8]  Michael Friendly,et al.  A Brief History of Data Visualization , 2008 .

[9]  Ian Johnson Mapping the Fourth Dimension: the TimeMap Project , 1997 .

[10]  Visualization and classification of urban change patterns on the basis of state-space transitions , 2008 .

[11]  George K. Knopf,et al.  Representing High-Dimensional Data Sets as Closed Surfaces , 2002, Inf. Vis..

[12]  Nahum D. Gershon Visualization of an Imperfect World , 1998, IEEE Computer Graphics and Applications.

[13]  Roland Billen,et al.  Development and use of a 4D GIS to support the conservation of the Calakmul site , 2009 .

[14]  Xavier Rodier,et al.  Understanding urban fabric with the OH_FET model based on social use, space and time , 2008 .

[15]  J. K. Rød The third choice , 2000 .

[16]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[17]  Time‐Geography: Individuals in Time and Space , 2010 .

[18]  Mark Gahegan,et al.  A typology for visualizing uncertainty , 2005, IS&T/SPIE Electronic Imaging.