Special Issue "Multidimensional and Multiscale GIS"

Special Issue Editors

Guest Editor
Dr. Éric Guilbert

Department of Geomatics Sciences, Université Laval, Québec QC G1V 0A6 Canada
Website | E-Mail
Phone: 1 418 656-2131
Interests: geometrical modelling; terrain modelling; cartographic generalisation
Guest Editor
Dr. Paweł Bogusławski

Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Poland
Website | E-Mail
Phone: +48 71 320 68 54
Interests: topological data structures; spatial modelling; BIM-GIS integration
Guest Editor
Dr. Umit Isikdag

Department of Informatics, Mimar Sinan Fine Arts University, Istanbul, Turkey
Website | E-Mail
Phone: + 90 212 246 00 11-6102
Interests: machine learning; BIM-GIS integration; IoT; 3D geoinformation; 3D cadastre

Special Issue Information

Dear Colleagues,

People want to observe and understand the world around them. They want to make quick and sound decisions at their level of management: A building, factory, city, or perhaps a whole country. It is not an easy task, especially in a rapidly-changing environment where more and more information from different domains have to be taken into account. Old good models and analysis techniques have become outdated, unable to cope with the level of complexity. People need new and advanced tools, GISystems, to analyse, understand and manage their resources.

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, their increasing size imposes that manual interventions are limited as much as possible. This means that 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.

This Special Issue focuses on the multidimensional modelling and representation of geospatial data. This includes spatial dimensions but also temporal and scale dimensions. We invite papers with original contributions, proposing new algorithms and data structures to handle geospatial data and their representation at multiple scale. Papers presented in the ISPRS Commission IV Symposium in Delft, October 2018 will be considered if they are extended to full journal papers. Topics of this Special Issue mainly focus on, but are not limited to:

  • Geographic and spatial information systems
  • Algorithms and data structures for modelling spatial phenomena
  • Multiple representation of geospatial phenomena
  • Topological data structures for multidimensional geometries
  • Data structures for multiscale representations
  • Algorithms for handling multiple representations
  • Algorithms and data structures for terrain modelling
  • Machine learning utilizing multidimensional and multiscale models
  • Application of multidimensional models to city/urban information systems, BIM-GIS integration, infrastructure monitoring, disaster management, natural resources (forestry, mining, geology, etc.)
Dr. Éric Guilbert
Dr. Paweł Bogusławski
Dr. Umit Isikdag
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle A Modified Methodology for Generating Indoor Navigation Models
ISPRS Int. J. Geo-Inf. 2019, 8(2), 60; https://doi.org/10.3390/ijgi8020060
Received: 18 December 2018 / Revised: 22 January 2019 / Accepted: 24 January 2019 / Published: 29 January 2019
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Abstract
Automatic methods for constructing navigation routes do not fully meet all requirements. The aim of this study was to modify the methodology for generating indoor navigation models based on the Medial Axis Transformation (MAT) algorithm. The simplified method for generating corridor axes relies [...] Read more.
Automatic methods for constructing navigation routes do not fully meet all requirements. The aim of this study was to modify the methodology for generating indoor navigation models based on the Medial Axis Transformation (MAT) algorithm. The simplified method for generating corridor axes relies on the Node-Relation Structure (NRS) methodology. The axis of the modeled structure (corridor) is then determined based on the points of the middle lines intersecting the structure (polygon). The proposed solution involves a modified approach to the segmentation of corridor space. Traditional approaches rely on algorithms for generating Triangulated Irregular Networks (TINs) by Delaunay triangulation or algorithms for generating Thiessen polygons known as Voronoi diagrams (VDs). In this study, both algorithms were used in the segmentation process. The edges of TINs intersected structures. Selected midpoints on TIN edges, which were located in the central part of the structure, were used to generate VDs. Corridor structures were segmented by polygon VDs. The identifiers or structure nodes were the midpoints on the TIN edges rather than the calculated centroids. The generated routes were not zigzag lines, and they approximated natural paths. The main advantage of the proposed solution is its simplicity, which can be attributed to the use of standard tools for processing spatial data in a geographic information system. Full article
(This article belongs to the Special Issue Multidimensional and Multiscale GIS)
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