A New Method to Characterize Density Adapted to a Coarse City Model - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2014

A New Method to Characterize Density Adapted to a Coarse City Model

Résumé

Density is probably one of the most used indicators to characterize urban development. Even if it is a quantitative and properly defined measure, there are still problems to use it properly. This paper proposes a renewed approach to characterize urban density based on buildings' footprints. It can be applied on huge datasets and allows multi-level characterization of density. We first present an original partition of urban open space. This topology helps us to define a neighborhood function. We then adapt the GSI and FSI indices to the previously defined tessellation. The combination of the neighborhood function and the modified indices makes it possible to assess density iteratively. For each building, these values allow to define density profile which is then used in a classification process. The results highlight spatial patterns and homogeneous areas. This transposable method is adapted to urban fabric characterization and surpasses old descriptive and low formalized classifications.
Fichier principal
Vignette du fichier
ifgis-2013_hamainaLeducMoreau-color.pdf (10.43 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01347216 , version 1 (20-07-2016)

Identifiants

Citer

Rachid Hamaina, Thomas Leduc, Guillaume Moreau. A New Method to Characterize Density Adapted to a Coarse City Model. Vasily Popovich; Christophe Claramunt; Manfred Schrenk; Kyrill Korolenko. Information Fusion and Geographic Information Systems (IF AND GIS 2013), Springer Berlin Heidelberg, 2014, 978-3-642-31832-0. ⟨10.1007/978-3-642-31833-7_16⟩. ⟨hal-01347216⟩
222 Consultations
125 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More