A Proposal for Modeling Indoor–Outdoor Spaces through IndoorGML, Open Location Code and OpenStreetMap

• Published in: ISPRS international journal of geo-information 2020-03, Vol.9 (3), p.169
• Main Authors: Cantarero Navarro, Rubén, Rubio Ruiz, Ana, Dorado Chaparro, Javier, Villanueva Molina, Felix J., Santofimia Romero, Maria J., Villa Alises, David, Lopez Lopez, Juan C.
• Format: Article
• Language: English
• Subjects: Access control; Buildings; Digital mapping; Geography; Indoor environments; indoorgml; Integration; Internet of Things; Modelling; Multilayers; open location code; Open systems; openstreetmap; Representations; Semantics; Sensors; smart building; Smart cities; smart city; space representation
• ISSN: 2220-9964; 2220-9964
• DOI: 10.3390/ijgi9030169

Traditionally, the standards of spatial modeling are oriented to represent the quantitative information of space. However, in recent years an increasingly common challenge is appearing: flexibly and appropriately integrating quantitative information that goes beyond the purely geometric. This problem has been aggravated due to the success of new paradigms such as the Internet of Things. This adds an additional challenge to the representation of this information due to the need to represent characteristic information of the space from different points of view in a model, such as WiFi coverage, dangerous surroundings, etc. While this problem has already been addressed in indoor spaces with the IndoorGML standard, it remains to be solved in outdoor and indoor–outdoor spaces. We propose to take the advantages proposed in IndoorGML, such as cellular space or multi-layered space model representation, to outdoor spaces in order to create indoor–outdoor models that enable the integration of heterogeneous information that represents different aspects of space. We also propose an approach that gives more flexibility in spatial representation through the integration of standards such as OpenLocationCode for the division of space. Further, we suggest a procedure to enrich the resulting model through the information available in OpenStreetMap.