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Open AccessEditorial

Multidimensional and Multiscale GIS

1
Department of Geomatics Sciences, Université Laval, Québec, QC G1V 0A6, Canada
2
Faculty of Civil Engineering, Wroclaw University of Science and Technology, 50-421 Wroclaw, Poland
3
Department of Informatics, Mimar Sinan Fine Arts University, Istanbul 34427, Turkey
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(12), 523; https://doi.org/10.3390/ijgi8120523
Received: 11 November 2019 / Accepted: 18 November 2019 / Published: 23 November 2019
(This article belongs to the Special Issue Multidimensional and Multiscale GIS)
The advent of new data collection technologies, such as LiDAR and drones, have made geospatial data available in large amounts and at low costs. While access to data is getting easier, geospatial tools have to evolve towards further automation and guarantee the reproducibility of the process and the quality of the results. As such, algorithms and data structures for handling geospatial data also need to be more and more robust and efficient to model complex, multidimensional geospatial phenomena in GISystems and provide higher levels of analysis. Articles in this special issue address two complementary aspects of the problem. They introduce new algorithms and data structures that allow for a more efficient handling of multidimensional data but also present complete processing chains dealing with the integration and the dissemination of multidimensional data.
Keywords: 3D model; spatiotemporal modelling; multiscale representation; city modelling; building modelling; indoor navigation; 3D web 3D model; spatiotemporal modelling; multiscale representation; city modelling; building modelling; indoor navigation; 3D web
MDPI and ACS Style

Guilbert, E.; Boguslawski, P.; Isikdag, U. Multidimensional and Multiscale GIS. ISPRS Int. J. Geo-Inf. 2019, 8, 523.

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