Distributed Spatio-Temporal Voronoi Diagrams: State of Art and Application to the Measurement of Spatial Accessibility in Urban Spaces

Abstract

Irregular development and rapid changes are largely used to contribute to the production of large and uncontrollable data, making the management, analysis, processing, storage and interpretation of these massive spatial data extremely efficient. As a result, the displacement at the level of urban spaces becomes noticeably difficult. In this article, we are implementing a new approach that uses spatiotemporally voronoï diagrams based on a distributed architecture to solve large data processing problems on the one hand, and spatial accessibility in urban areas problems on the other hand.