Journal of Digital Landscape Architecture

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Using Visual Analytics for Decision Making

The planning of built and natural environments incorporates participatory processes that are more and more supported by information and communications technology (ICT). On the one hand, this implies potentially more diverse knowledge of the masses in form of participatory contributions, e. g., opinions, ideas or formal statements. On the other hand, this leads to an increasing data complexity in terms of size and interconnectedness which in turn complicates making sense, retrieving implicit new information, and decision making. We describe the need for more sophisticated methods and present how the field of visual analytics can overcome these challenges by demonstrating the applicability of the visual analytics process model for one exemplary but fundamental use case that focuses on an analysis task in e-participation for planning purposes.

Autor / Author: Schütz, Lars; Raabe, Susanne; Bade, Korinna; Pietsch, Matthias
Institution / Institution: Anhalt University of Applied Sciences, Köthen, Germany/Otto von Guericke University Magdeburg, Magdeburg, Germany; Anhalt University of Applied Sciences, Köthen, Germany/Anhalt University of Applied Sciences, Bernburg, Germany; Anhalt University of Applied Sciences, Köthen, Germany; Anhalt University of Applied Sciences, Bernburg, Germany
Seitenzahl / Pages: 8
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 2-2017
Tagung / Conference: Digital Landscape Architecture 2017 – Responsive Landscapes
Veranstaltungsort, -datum / Venue, Date: Bernburg, Germany 07-06-17 - 10-06-17
Schlüsselwörter (de):
Keywords (en): Visual analytics, e-participation, decision making, planning process
Paper review type: Full Paper Review
DOI: doi:10.14627/537629010
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