Abstract
Interactive visualizations of geospatial data are commonplace in various applications and tools. The visual complexity of these visualizations ranges from simple point markers placed on the cartographic maps through visualizing connections, heatmaps, or choropleths to their combination. Designing proper visualizations of geospatial data is often tricky, and the existing approaches either provide only limited support based on pre-defined templates or require extensive programming skills. In our previous work, we introduced the Geovisto toolkit – a novel approach that blends between template editing and programmatic approaches providing tools for authoring reusable multilayered map widgets even for non-programmers. In this paper, we extend our previous work focusing on Geovisto’s application in the industry. Based on the critical assessment of two existing usage scenarios, we summarize the necessary design changes and their impact on the toolkit’s architecture and implementation. We further present a case study where Geovisto was used in the production-ready application for IoT sensor monitoring developed by Logimic, a Czech-US startup company. We conclude by discussing the advantages and limitations of our approach and outlining the future work.
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Metadata required by the Node.js Package Manager when resolving the tree of package dependencies, running, building, and publishing the package.
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Logimics’ products include smart city dashboards for monitoring billions of sensors, street lighting control systems, indoor monitoring of temperature and humidity with small battery-operated wireless sensors, wireless control of industrial heaters, and many others (https://www.logimic.com/).
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Acknowledgements
Jiří Hynek was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science – LQ1602”. Vít Rusňák was supported by ERDF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0/0.0/16_019/0000822) project. We also thank Progress Flowmon and Logimic, which provided usage scenarios and cooperated during the evaluation of the Geovisto toolkit.
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Hynek, J., Rusňák, V. (2023). Towards Interactive Geovisualization Authoring Toolkit for Industry Use Cases. In: de Sousa, A.A., et al. Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2021. Communications in Computer and Information Science, vol 1691. Springer, Cham. https://doi.org/10.1007/978-3-031-25477-2_11
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