Open Access

EDITORIAL

François PINET, Didier JOSSELIN, Alain BOUJU
Revue Internationale de Géomatique, Vol.31, No.2, pp. 239-240, 2022, DOI:10.3166/RIG.31.239-240©2022
Abstract This article has no abstract. More >

View

31

Download

49

Open Access

ARTICLE

Thomas Leduc, Xenia Stavropulos-Laffaille, Ignacio Requena-Ruiz
Revue Internationale de Géomatique, Vol.31, No.2, pp. 241-263, 2022, DOI:10.3166/RIG.31.241-263©2022
Abstract The adaptation of public spaces to episodes of intense heat is now a major challenge for cities. With this in mind, this article presents a contribution aimed at delineating and handling the shadows on the ground or in a horizontal plane at a given height, whether it comes from buildings, street furniture or the tree cover. After a comparison with shadows obtained via two reference tools, we present two urban sites that mix shadows of different origins and, in addition, different indicators. The results of the simulations are compared with pyranometric surveys carried out on site. The aim of these… More >

View

44

Download

68

Open Access

ARTICLE

Alessandro Araldi¹, David Emsellem², Giovanni Fusco¹, Andrea Tettamanzi³, Denis Overal²
Revue Internationale de Géomatique, Vol.31, No.2, pp. 265-302, 2022, DOI:10.3166/RIG.31.265-302© 2022
Abstract The identification and description of building typologies play a fundamental role in the understanding of the overall built-up form. A growing body of research is developing and implementing sophisticated, computer-aided protocols for the identification of building typologies. This paper shares the same goal. An innovative data-driven procedure for the unsupervised identification and description of building types and organization is here presented. After a specific pre-processing procedure, we develop an unsupervised clustering combining a new algorithm of Naive Bayes inference and hierarchical ascendant approaches relying on six morphometric features of buildings. This protocol allows us to identify groups of buildings sharing… More >

View

51

Download

56

Open Access

ARTICLE

Perez Joan¹, Fusco Giovanni¹, Sadahiro Yukio²
Revue Internationale de Géomatique, Vol.31, No.2, pp. 303-327, 2022, DOI:10.3166/RIG.31.303-327© 2022
Abstract This paper presents different methods implemented with the aim of studying urban dynamics at the building level. Building types are identified within a comprehensive vector-based building inventory, spanning over at least two time points. First, basic morphometric indicators are computed for each building: area, floor-area, number of neighbors, elongation, and convexity. Based on the availability of expert knowledge, different types of classification and clustering are performed: supervised tree-like classificatory model, expert-constrained k-means and combined SOM-HCA. A grid is superimposed on the test region of Osaka (Japan) and the number of building types per cell and for each period is computed,… More >

View

56

Download

73

Open Access

ARTICLE

Jacques Fize¹, Lucile Sautot², Martin Lentschat³, Laurence Dujourdy⁴, Ludovic Journaux⁵, Mohamed Hilal⁶
Revue Internationale de Géomatique, Vol.31, No.2, pp. 329-354, 2022, DOI:10.3166/RIG.31.329-354© 2022
Abstract Le Grand Débat National, lancé début 2019 par Emmanuel Macron, président de la République, pour répondre au mouvement social des « Gilets jaunes », a permis de collecter les contributions de citoyens sur la transition écologique via une plateforme en ligne. Dans cet article, nous exploitons le corpus constitué par ces contributions pour identifier des zones où les participants demandent le développement de pistes cyclables et d’équipements ferroviaires. Pour cela, nous avons créé un modèle de classification permettant d’identifier les contributions traitant de la thématique du transport et proposé une méthode d’extraction de contributions traduisant les propositions des contributeurs. A… More >

View

42

Download

55

Open Access

ARTICLE

Jean-Pierre Chery¹, Marie Gradeler¹, Vincent Bonnal^2,3,4
Revue Internationale de Géomatique, Vol.31, No.2, pp. 355-376, 2022, DOI:10.3166/RIG.31.355-376© 2022
Abstract Les besoins de valoriser et de partager des informations génériques et originales de différents projets de recherche, ont conduit à concevoir une plateforme géoweb dédiée, dénommée NAMO. Sa conception utilise des fonctionnalités ouvertes, libres et gratuites qui montrent leur souplesse dans une démarche agile et itérative. C’est en particulier le développement de deux dimensions de valorisation et de positionnement en géoweb 2.0 qui est souligné : la cartographie narrative et la modélisation systémique. Les dispositifs d’usage de l’information géographique, en particulier dans les démarches de co-construction et de science ouverte, peuvent ainsi être mieux outillés. More >

View

46

Download

46

Open Access

ARTICLE

Kamaldeep Singh Oberoi¹, Géraldine Del Mondo²
Revue Internationale de Géomatique, Vol.31, No.2, pp. 377-399, 2022, DOI:10.3166/RIG.31.377-399 c 2022
Abstract Spatio-temporal (ST) graphs have been used in many application domains to model evolving ST phenomenon. Such models represent the underlying structure of the phenomenon in terms of its entities and different types of spatial interactions between them. The reason behind using graph-based models to represent ST phenomenon is due to the existing well-established graph analysis tools and algorithms which can be directly applied to analyze the phenomenon under consideration. In this paper, considering the use case of two distinct, highly dynamic phenomena - invasive team sports, with a focus on handball and urban road traffic, we propose a spatio-temporal graph… More >

View

48

Download

48