The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation

McAleer, Susie; Kogut, Pavel; Raes, Lieven

doi:10.1007/978-3-319-77547-0_11

Cited by 1 publication

(1 citation statement)

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“…PoliVisu develops the traditional public policy making cycle (outlined by Patton and Sawicki [8]) using big data and visual analytics tools. The aim is to provide an open set of digital tools to leverage data to help public sector decision-making become more democratic by (a) experimenting with different policy options through impact visualization and (b) using the resulting visualizations to engage and harness the collective intelligence of policy stakeholders for collaborative solution development [9].…”

Section: Introductionmentioning

confidence: 99%

User Evaluation of Map-Based Visual Analytic Tools

Popelka

Heřman

Řezník

et al. 2019

IJGI

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Big data have also become a big challenge for cartographers, as the majority of big data may be localized. The use of visual analytics tools, as well as comprising interactive maps, stimulates inter-disciplinary actors to explore new ideas and decision-making methods. This paper deals with the evaluation of three map-based visual analytics tools by means of the eye-tracking method. The conceptual part of the paper begins with an analysis of the state-of-the-art and ends with the design of proof-of-concept experiments. The verification part consists of the design, composition, and realization of the conducted eye-tracking experiment, in which three map-based visual analytics tools were tested in terms of user-friendliness. A set of recommendations on GUI (graphical user interface) design and interactive functionality for map makers is formulated on the basis of the discovered errors and shortcomings in the assessed stimuli. The results of the verification were used as inputs for improving the three tested map-based visual analytics tools and might serve as a best practice for map-based visual analytics tools in general, as well as for improving the policy making cycle as elaborated by the European project PoliVisu (Policy Development based on Advanced Geospatial Data Analytics and Visualization).

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Section: Introductionmentioning

confidence: 99%