Building size modelization

Arlette Antoni (1) , Thierry Dhorne (1)

1 Lab-STICC_UBS_CID_DECIDE

New challenges in the efficient management of cities depend on a deep knowledge of their inner structures. It is therefore very important to have access to reliable models of cities characteristics and organization. This paper aims at providing and validating a stochastic modelization based on statistical data of buildings parameters which can be useful as an entry for many other models considered in a wide range of fields where buildings structure is a main factor of a thorough modelization of cities. The interest of such an approach is highlighted through the detection of errors in the data or as a tool for visual clustering.

Mots clés: Building size distributions; building geometry; statistical modelization; R language

Domaines: Géographie

Arlette Antoni, Thierry Dhorne. Building size modelization. Open Source Geospatial Research & Education Symposium, OGRS Community, Oct 2016, Perugia, Italy. ⟨10.7287/peerj.preprints.2264v3⟩. ⟨halshs-01396612⟩