• français
    • English
    English
  • Ouvrir une session
Aide
Voir le document 
  •   Accueil de SAM
  • Institut de Recherche de l’École navale (IRENAV)
  • Voir le document
  • Accueil de SAM
  • Institut de Recherche de l’École navale (IRENAV)
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Special issue on spatio-temporal theories and models for environmental, urban and social sciences: where do we stand ?

Article dans une revue avec comité de lecture
Auteur
ccCLARAMUNT, Christophe
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
STEWART, Kathleen

URI
http://hdl.handle.net/10985/9618
DOI
10.1080/13875868.2015.1004178
Date
2015
Journal
Spatial Cognition and Computation

Résumé

This extensive editorial of this special journal issue follows a workshop organized in conjunction with the 11th International Conference on Spatial Information Theory (COSIT 2013) in September 2013 in Scarborough, UK. The objective of this international workshop was to bring together representatives from these different disciplinary communities, and integrate academics, students, and practitioners for a one-day workshop on spatiotemporal concepts and theories. This editorial introduces the special issue, the research objectives the workshop followed and some of the main contributions as well as the theoretical achievements and research perspectives left.

Fichier(s) constituant cette publication

Nom:
IRENAV_IJCC_Claramunt_2015.pdf
Taille:
461.6Ko
Format:
PDF
Voir/Ouvrir

Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Institut de Recherche de l’École navale (IRENAV)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data 
    Article dans une revue avec comité de lecture
    DE SILVA, Brian; CHAMPION, Kathleen; QUADE, Markus; KUTZ, J. Nathan; BRUNTON, Steven; ccLOISEAU, Jean-Christophe (Open Journals, 2020)
    Scientists have long quantified empirical observations by developing mathematical models that characterize the observations, have some measure of interpretability, and are capable of making predictions. Dynamical systems ...
  • PySINDy: A comprehensive Python package for robust sparse system identification 
    Article dans une revue avec comité de lecture
    KAPTANOGLU, Alan; DE SILVA, Brian; FASEL, Urban; KAHEMAN, Kadierdan; GOLDSCHMIDT, Andy; CALLAHAM, Jared; DELAHUNT, Charles; NICOLAOU, Zachary; CHAMPION, Kathleen; KUTZ, J.; BRUNTON, Steven; ccLOISEAU, Jean-Christophe (The Open Journal, 2022-01)
    Automated data-driven modeling, the process of directly discovering the governing equations of a system from data, is increasingly being used across the scientific community. PySINDy is a Python package that provides tools ...
  • Spatial models for context-aware indoor navigation systems: A survey 
    Article dans une revue avec comité de lecture
    AFYOUNI, Imad; RAY, Cyril; CLARAMUNT, Christophe (2012-06)
    This paper surveys indoor spatial models developed for research fields ranging from mobile robot mapping, to indoor location-based services (LBS), and most recently to context-aware navigation services applied to indoor ...
  • Design of a spatial database to analyze the forms and responsiveness of an urban environment using an ontological approach 
    Article dans une revue avec comité de lecture
    SILAVI, Tolue; HAKIMPOUR, Farshad; NOURIAN, Farshad; ccCLARAMUNT, Christophe (Elsevier, 2015)
    This paper introduces a spatial database and ontology-enabled framework that models and operationalizes the relation between urban forms and their responsiveness to the needs of its user. The objective is to offer a framework ...
  • Experiential Hierarchies of Streets 
    Article dans une revue avec comité de lecture
    TOMKO, Martin; WINTER, Stephan; ccCLARAMUNT, Christophe (Elsevier, 2008)
    Mental representations of spatial knowledge are organized hierarchically. Among people familiar with an urban environment, common spatial knowledge from these spatial mental representations enables successful communication ...

Parcourir

Tout SAMLaboratoiresAuteursDates de publicationCampus/InstitutsCe LaboratoireAuteursDates de publicationCampus/Instituts

Lettre Diffuser la Science

Dernière lettreVoir plus

Statistiques de consultation

Publications les plus consultéesStatistiques par paysAuteurs les plus consultés

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales