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Journal Articles Transactions in GIS Year : 2023

UD‐SV : Urban data services and visualization framework for sharing multidisciplinary research

John Samuel Samuel
Vincent Jaillot
Clément Colin
Diego Vinasco-Alvarez
Sylvie Servigne
Gilles Gesquière

Abstract

With the widespread availability of a large volume of urban data, stakeholders from different domains require advanced tools to manage, visualize and understand cities and their evolution. During the last few years, researchers have proposed numerous research works and applications to illustrate the cities of the past and possible scenarios of the future under different conditions. However, many of these approaches are one-time solutions and not based on standards, making them obsolete and unusable for reproducible research. In this article, we present UD-SV: an Urban data-Services and Visualization open-source framework for multidisciplinary research to handle complex processing, analysis, and visualization of urban data. However, our goal is not to present a one-time monolithic software solution for urban data management and analysis, but we demonstrate the design and development of an open and interoperable software framework driven by use cases from diverse users to solve applied research challenges. The main contribution of UD-SV is that it uses open standards and open data with documented and reproducible processes with a particular emphasis on the reuse of existing open-source software components. We also show an enhanced use of standards to enable a shift toward components that are interchangeable or composable with other existing components in the GIS community.
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Dates and versions

hal-04071150 , version 1 (08-06-2023)

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John Samuel Samuel, Vincent Jaillot, Clément Colin, Diego Vinasco-Alvarez, Eric Boix, et al.. UD‐SV : Urban data services and visualization framework for sharing multidisciplinary research. Transactions in GIS, 2023, 27 (3), pp.841-858. ⟨10.1111/tgis.13049⟩. ⟨hal-04071150⟩
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