Mat&Carto: matrice ré-ordonnable & cartographie
Résumé
The dialogs between computer science and geography have encourage the emergence of quantitative geography within a renewed and integrated vision of geography. Adopting a nomothetic approach, practitioners in this field have used, and continue to use, a wide range of software tools for different purposes, joining computations with (geo)visualizations. Combined with serialisation methods, the graphical representation of relationships between elements provides several levels of information (elementary, intermediate, and overall). Scalogramms in use since the early 20th century, have been subject to gradual improvements to become re-orderable. Advances in algorithms and computer science led to the development of interactive digital tools which integrate computational processes with manual and visual ones. Although it has been used to a limited extend in geography, we propose to put on digital humanities' agenda some revival of a critical method of data seriation within the so-called re-orderable visual matrix inheritage paradigm by integrating it into a contemporary (geo)visualization tool. Our purposes are, on the one hand, to reconsider the method its initial assignments: exploring the structure of relationships between geographical units that, together, constitute a given area. On the other hand, we aim at evaluating the technical lineage of this visual mixed approach to multivariate descriptive cartographic analysis, as well as the performative nature of the associated (geo)visualizations.
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