HyperSmooth : calcul et visualisation de cartes de potentiel interactives
Christine Plumejeaud (INRIA Rh\^one-Alpes / LIG Laboratoire, d'Informatique de Grenoble), Jean-Marc Vincent (INRIA Rh\^one-Alpes / LIG, laboratoire d'Informatique de Grenoble), Claude Grasland (GC, RIATE),, J\'er\^ome Gensel (LSR - IMAG), H\'el\`ene Mathian (GC)
TL;DR
HyperSmooth introduces an interactive web-based cartographic tool for visualizing spatial social data using potential smoothing, addressing computational complexity and data confidentiality challenges.
Contribution
The paper presents a novel interactive web tool for potential smoothing-based spatial analysis, with solutions for handling large data and ensuring confidentiality.
Findings
Developed a scalable computation method for large datasets
Created an accessible web interface for interactive maps
Ensured data confidentiality in spatial analysis
Abstract
The HyperCarte research group wishes to offer a new cartographic tool for spatial analysis of social data, using the potential smoothing method. The purpose of this method is to view the spreading of phenomena's in a continuous way, at a macroscopic scale, basing on data sampled on administrative areas. We aim to offer an interactive tool, accessible via the Web, but guarantying the confidentiality of data. The major difficulty is induced by the high complexity of the calculus, working on a great amount of data. We present our solution to such a technical challenge, and our perspectives of enhancements.
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Taxonomy
TopicsData Management and Algorithms · 3D Modeling in Geospatial Applications · Geographic Information Systems Studies