ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume IV-5/W1
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5/W1, 1–8, 2017
https://doi.org/10.5194/isprs-annals-IV-5-W1-1-2017
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5/W1, 1–8, 2017
https://doi.org/10.5194/isprs-annals-IV-5-W1-1-2017

  13 Dec 2017

13 Dec 2017

BIM AND GIS: WHEN PARAMETRIC MODELING MEETS GEOSPATIAL DATA

L. Barazzetti and F. Banfi L. Barazzetti and F. Banfi
  • Dept. of Architecture, Built environment and Construction engineering (ABC) Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy

Keywords: BIM, Geospatial Data, GIS, Infrastructure, Integration, Land Management, Parametric Modeling

Abstract. Geospatial data have a crucial role in several projects related to infrastructures and land management. GIS software are able to perform advanced geospatial analyses, but they lack several instruments and tools for parametric modelling typically available in BIM. At the same time, BIM software designed for buildings have limited tools to handle geospatial data. As things stand at the moment, BIM and GIS could appear as complementary solutions, notwithstanding research work is currently under development to ensure a better level of interoperability, especially at the scale of the building. On the other hand, the transition from the local (building) scale to the infrastructure (where geospatial data cannot be neglected) has already demonstrated that parametric modelling integrated with geoinformation is a powerful tool to simplify and speed up some phases of the design workflow. This paper reviews such mixed approaches with both simulated and real examples, demonstrating that integration is already a reality at specific scales, which are not dominated by “pure” GIS or BIM. The paper will also demonstrate that some traditional operations carried out with GIS software are also available in parametric modelling software for BIM, such as transformation between reference systems, DEM generation, feature extraction, and geospatial queries. A real case study is illustrated and discussed to show the advantage of a combined use of both technologies. BIM and GIS integration can generate greater usage of geospatial data in the AECOO (Architecture, Engineering, Construction, Owner and Operator) industry, as well as new solutions for parametric modelling with additional geoinformation.