Sciences, technologies et visualisations

Geographical phenomena are by nature distributed. To deliver geographical coordinate to an address is one thing, but for the purpose of geographical analysis it is necessary to aggregate geographic information, and associated data, on a more suitable scale. It is the case, for example, for analyzing inter-urban or regional spatial dynamics based on human activities. This aggregation, in a given area, of geographical points of different nature (organization name, building name, street number, city name …) located at different scales (points or centroids) is called a geospatial join. It consists for each point (couple of coordinates) to identify the shape (as a city or a region: multiple points with coordinates linked by lines) to which it belongs. Once this shape is identified, and all the points listed, it is possible: 1- to calculate and visualize the distribution of the phenomenon across these areas, 2- as well as to associate other variables already stored in your datasets (thematic clusters, keywords …).