ChoveuRIO
data interpolation and graph theory for real-time rainfall visualization in the Rio de Janeiro city
Palavras-chave:
ChoveuRIO, Data Interpolation, Graph Theory, Real-Time Rainfall Visualization, Rio de JaneiroResumo
This abstract presents the ChoveuRIO platform, an open-source initiative developed to visualize real-time rainfall data in Rio de Janeiro by applying advanced interpolation techniques, such as Inverse Distance Weighting (IDW) and Kriging. Integrating the data from automatic pluviometers, the platform also provides a view of the city’s road graph and optimizes routes between two points considering both the current precipitation and the total distance traveled. Developed with a stack including Svelte, Leaflet, and D3, ChoveuRIO serves as a critical tool for public use, disaster management, and research. Our platform integrates with DataRio to provide accurate administrative regions and OpenStreetMap for the highway network. This work presents the potential of combining mathematics, technology and environmental science to enhance urban resilience against climatic adversities.
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Referências
M. Bostock, V. Ogievetsky, and J. Heer. “D³ Data-Driven Documents”. In: IEEE Transactions on Visualization and Computer Graphics 12 (Dec. 2011), pp. 2301–2309. doi: 10.1109/TVCG.2011.185.
Prefeitura do Estado do Rio de Janeiro. DataRio. Online. 2023. url: https://www.data.rio (visited on 06/11/2023).
Leaflet — an open-source JavaScript library for interactive maps. Online. url: https://leafletjs.com/ (visited on 06/11/2023).
OpenStreetMap contributors. Planet dump retrieved from https://planet.osm.org. 2017. url: https://www.openstreetmap.org (visited on 06/11/2023).
Svelte. Online. url: https://svelte.dev/ (visited on 06/11/2023).
