Special Issue "Selected Papers from the 10th International Conference on Geographic Information Science"

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (21 November 2018)

Special Issue Editors

Guest Editor
Prof. Dr. Monika Sester

Institute of Cartography and Geoinformatics, Leibniz University Hannover
Website | E-Mail
Interests: Multiscale data, Data integration, Trajectory mining, Traffic data analysis, Integrated analysis of VGI data, Machine learning and deep learning
Guest Editor
Prof. Dr. Stephan Winter

Department of Infrastructure Engineering, The University of Melbourne, Victoria 3010, Australia
Website | E-Mail
Interests: Spatial cognitive engineering and intelligent systems
Guest Editor
Dr. Amy Griffin

RMIT Melbourne, Australia
Website | E-Mail
Interests: cartography, geovisualization, cognitive issues in geographic information, health geography

Special Issue Information

Dear Colleagues,

The Tenth International Conference on Geographic Information Science was held in Melbourne, Australia, 28-31 August 2018. Hosted at RMIT University in collaboration with the University of Melbourne, GIScience 2018, the flagship conference in the field of geographic information science continues a highly successful conference series, which started in 2000. The conference regularly brings together more than 200 international participants from academia, industry, and government to discuss and advance the state-of-the-art in geographic information science. The GIScience conference series has always had a focus on fundamental research themes and questions. Papers are typically advancing the field methodologically or theoretically.

GIScience 2018 carefully selected 105 papers for presentation: 17 full papers, 56 short papers and 32 extended abstracts. The full papers and short papers are published in the proceedings, which are available open-access from LIPIcs (www.dagstuhl.de/lipics), Volume 114. Additionally, a number of international workshops were held in conjunction with GIScience 2018. Authors are now invited to contribute to this special journal issue by papers that have not yet been published (coming out of the extended abstracts), or that are considerable extensions of the already published work presented at the conference (coming out of short papers or full papers). In the latter case the extension must justify another publication and must be explained in the submission letter.

TOPICS

Contributions, in line with the conference, will cover a wide range of disciplines related to Geographic Information Science, including:

  •     Geography
  •     Cognitive science
  •     Computer science
  •     Engineering
  •     Information science
  •     Linguistics
  •     Mathematics
  •     Philosophy
  •     Psychology
  •     Social science
  •     (Geo)Statistics
  •     Data science

In addition, GIScience 2018 welcomed papers covering emerging topics, such as:

  •     GIScience of the Internet of Things
  •     GeoSemantic Web
  •     GIScience in mobility, including autonomous vehicles
  •     Advances in geosimulation
  •     GIScience and location privacy
  •     Spatial Big Data
  •     (Deep) Machine Learning

Some of these topics are covered in the conference workshops. This Special Issue also invites papers from the GIScience 2018 workshops. 

Prof. Dr. Monika Sester
Prof. Dr. Stephan Winter
Dr. Amy Griffin
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 (4 papers)

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Research

Open AccessArticle Investigating Roundabout Properties and Bicycle Accident Occurrence at Swiss Roundabouts: A Logistic Regression Approach
ISPRS Int. J. Geo-Inf. 2019, 8(2), 95; https://doi.org/10.3390/ijgi8020095
Received: 23 November 2018 / Revised: 4 February 2019 / Accepted: 13 February 2019 / Published: 18 February 2019
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Abstract
The positive effects of active mobility on mental and physical health as well as on air quality are widely acknowledged. Increasing the share of active travel is therefore an aim in many countries. Providing bicycle-safe infrastructure is one way to promote cycling. Roundabouts [...] Read more.
The positive effects of active mobility on mental and physical health as well as on air quality are widely acknowledged. Increasing the share of active travel is therefore an aim in many countries. Providing bicycle-safe infrastructure is one way to promote cycling. Roundabouts are a common traffic infrastructure and are supposed to facilitate safe and smooth traffic flow. However, data on road traffic accidents indicate an over-proportional involvement of cyclists in accidents at roundabouts. In the present study, the influence of roundabout geometry and traffic flow on bicycle accident occurrence was investigated using a logistic regression approach on twelve parameters of N = 294 mostly small- and mini-sized single-lane roundabouts in the Canton of Berne, Switzerland. Average weekday motorized traffic was identified as a major factor in explaining bicycle accident occurrence at roundabouts. Further, the radius of the central island, the location of the roundabout (in town vs. out of town) and the number of legs were significantly related to bicycle accident occurrence. While these results are in general agreement with findings from similar studies, the findings regarding the central island’s radius and the number of legs underpin the need for roundabout type-specific studies: Some parameters may not prove relevant in intermediate- to large-sized roundabouts, but become critical in small or mini roundabouts, which are common in Switzerland and numerous in the present sample. Full article
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Open AccessArticle Function-Based Search of Place Using Theoretical, Empirical and Probabilistic Patterns
ISPRS Int. J. Geo-Inf. 2019, 8(2), 92; https://doi.org/10.3390/ijgi8020092
Received: 23 November 2018 / Revised: 24 January 2019 / Accepted: 13 February 2019 / Published: 16 February 2019
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Abstract
Searching for places rather than traditional keyword-based search represents significant challenges. The most prevalent method of addressing place-related queries is based on place names but has limited potential due to the vagueness of natural language and its tendency to lead to ambiguous interpretations. [...] Read more.
Searching for places rather than traditional keyword-based search represents significant challenges. The most prevalent method of addressing place-related queries is based on place names but has limited potential due to the vagueness of natural language and its tendency to lead to ambiguous interpretations. In previous work we proposed a system-oriented logic-based formalization of place that goes beyond place names by introducing composition patterns of place which enable function-based search of space. In this study, we introduce flexibility into these patterns in terms of what is included when describing the spatial composition of a place using two distinct approaches, based on modal and probabilistic logic. Additionally, we propose a novel automated process of extracting these patterns relying on both theoretical and empirical knowledge, using statistical and spatial analysis and statistical relational learning. The proposed methodology is exemplified through the use case of locating all areas within London that support shopping-related functionality. Results show that the newly introduced patterns can identify more relevant areas, additionally offering a more fine-grained representation of the level of support of the required functionality. Full article
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Open AccessArticle Re-Arranging Space, Time and Scales in GIS: Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses
ISPRS Int. J. Geo-Inf. 2019, 8(2), 72; https://doi.org/10.3390/ijgi8020072
Received: 4 December 2018 / Revised: 13 January 2019 / Accepted: 24 January 2019 / Published: 1 February 2019
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Abstract
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information [...] Read more.
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with complex temporal and spatial extents and the variation of data at multiple temporal and spatial scales. This article presents alternative representations that incorporate the scale dimension into time and space. The article first reviews a series of work about the triangular model (TM), which is a multi-scale temporal model. Then, it introduces the pyramid model (PM), which is the extension of the TM for spatial data, and demonstrates the utility of the PM in visualizing multi-scale spatial patterns of land cover data. Finally, it discusses the potential of integrating the TM and the PM into a unified framework for multi-scale spatio-temporal modeling. This article systematically documents the models with alternative arrangements of space and time and their applications in analyzing different types of data. Additionally, this article aims to inspire the re-thinking of organizations of space, time, and scales in the future development of GIS and analytical tools to handle the increasing quantity and complexity of spatio-temporal data. Full article
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Open AccessArticle Real-Time Visualization of Geo-Sensor Data Based on the Protocol-Coupling Symbol Construction Method
ISPRS Int. J. Geo-Inf. 2018, 7(12), 460; https://doi.org/10.3390/ijgi7120460
Received: 20 September 2018 / Revised: 16 November 2018 / Accepted: 26 November 2018 / Published: 27 November 2018
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Abstract
Obtaining and visualizing the internal state and position information of the remote device using sensors are important aspects of industrial manufacturing. For large-scale geo-sensors that have been recently used, map-based management and visualization of the geo-sensor devices have become ubiquitous. Users often build [...] Read more.
Obtaining and visualizing the internal state and position information of the remote device using sensors are important aspects of industrial manufacturing. For large-scale geo-sensors that have been recently used, map-based management and visualization of the geo-sensor devices have become ubiquitous. Users often build multiple map symbols to represent the multiple states of a device based on traditional map symbols. Visualizing multiple geo-sensor data in real time with one map symbol is difficult. In this paper, a protocol-coupling map symbol and a construction method for real-time data visualization is introduced where different sensor states of the geo-sensor are expressed with one symbol. The sensor data visualization method in supervisory control and data acquisition systems (SCADA) was introduced and applied to the construction and visualization process of map symbols. First, based on the traditional vector map symbols and the communication protocol parsing interface, the mapping relationship between the sensor data item and the graphic element is defined in the map symbol construction process. Second, by referring to the streaming services method in ArcGIS GeoEvent, geo-sensor data acquisition and a transfer broker in a GIS server is built, through which the real-time sensor data can be transferred from the remote side to the map client and used for map symbol rendering. Finally, the new map symbols are used for real-time geo-sensor data visualization in applications. In the application of the real-time monitoring of geo-sensor devices, remote device information was acquired by sensor and transmitted to the broker then cached on the server side. If the cached sensor data has changed compared to the previous, the changed data will be pushed to map client by broker. The communication module in the map client that communicates with the broker receives changed geo-sensor data and triggers a refresh of the map. Then the protocol-coupling map symbol is rendered according to the mapping profile and the status of the geo-sensor device will be displayed on the map in real time. All the methods and processes were verified in client-server and browser-server GIS architecture. Full article
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