GIS 2016 - Special Issue on Multi-dimensional Modeling, Analysis and Visualization

Guest Editors (in alphabetical order):
Francesc Antón Castro (Technical University of Denmark, Denmark)
Arzu Çöltekin (University of Zurich, Switzerland)
Éric Guilbert (Université Laval, Canada)
Chris Pettit (University of Melbourne, Australia)
Planned publication date: Summer 2016
Spatial data are now collected and processed in larger amounts and used by larger populations than ever before. The availability of such large amounts of data induces an acute need for developing new approaches to assist with their real time or near real time dissemination, visualisation, and analysis by end users. Several issues need to be considered in order to provide a meaningful representation and assist in data visualisation and mining, modeling and analysis; such as data structures allowing representation at different scales or in different contexts of thematic information. Streaming algorithms need to be pipelined with algorithms for efficiently rendering and communicating multi-dimensional data including but not limited to both the spatial (3D/nD) and spatio-temporal (4D/n+1D) data sets. Furthermore, to be able to assess what is meaningful and useful, we need to pay attention to different domain ontologies as well as human factors in developing these ontologies, algorithms and resulting visualizations. The objective of this special issue is to present the latest developments and research on the representation, modeling and analysis of spatial data covering multiple aspects: streaming and parallel algorithms; data structures; context-aware representations; techniques for visualising these data and communicating these data to end users for ultimately making informed decisions about our environment. Therefore, we invite papers with original technical contributions proposing novel and effective solutions to handle the spatial “data deluge” and empirical user studies that evaluate spatial data modeling, analysis, visualization and associated technologies.
We invite the interested authors to submit original research articles on following or related topics:
Geographical visualisation of multi-dimensional data
Geovisual analytics
Empirical studies reporting user experience with geovisualizations
Multiscale data representation
Data enrichment for context aware generalisations
Topological, geometrical and geometric topology data structures for multi-dimensional and multi-scale representations
Representation of discrete and continuous data including simultaneous representations of the discrete geometry and continuous topology of spatial data
Generalisations of 3D/nD data
Algorithms for handling multiple representations
Streaming and parallel algorithms for multi-dimensional modeling
Spatio-temporal ontologies and their use in multi-dimensional modeling, analysis and visualization
Mathematical modeling techniques for multi-dimensional modeling, analysis and visualization
Complete set of atomic algorithms for multi-dimensional modeling, analysis and visualization
Papers must be original contributions, not previously published or submitted to other journals. Papers presented in the ISPRS Commission II Symposium “Geospatial Theory, Processing, Modeling and Applications” in Toronto, October 2014 will be considered if they are considerably extended and improved. Research that connects basic and applied sciences and relevant-for-practice papers will be preferred. Papers must follow the instructions for authors: http://www.elsevier.com/journals/isprs-journal-of-....
Please submit the full manuscript to http://ees.elsevier.com/photo/default.asp by May 30, 2015.
Francesc Antón Castro|
Department of Geodesy
National Space Institute
Technical University of Denmark, Denmark
fa-AT-space.dtu.dk
Arzu Çöltekin
Department of Geography,
University of Zurich, Zurich, Switzerland
arzu-AT-geo.uzh.ch
Éric Guilbert
Department of Geomatics Science,
Laval University, Québec, Canada
eric.guilbert-AT-scg.ulaval.ca
Chris Pettit
Department of Architecture Building and Planning,
University of Melbourne, Australia
cpettit-AT-unimelb.edu.au