Two Papers Accepted for LBS 2019

This is the first time I’ll be attending the Conference on Location Based Services and we have two papers in the program:

Marina Georgati, Carsten Keßler
A 3D Routing Service for Indoor Environments

Preprint PDF

Abstract: Large and complex buildings with substantial numbers of visitors require fast and effective navigation support to help first-time and infrequent guests to easily find their destination and avoid stressful situations. Most existing solutions are based on in-situ localization and routing, therefore requiring expensive indoor positioning infrastructure. In contrast, the objective of this research is the development of a cheap and easily deployable indoor routing service that visitors can use to plan the route to their destination before their visit. It visualizes both the interior space of a building and its users’ individual routing paths in a virtual 3D environment. The proposed solution is entirely based on open source tools and has no installation requirements for the user. Its functionality is demonstrated in a building at the Aalborg University Copenhagen campus. This kind of ex-situ 3D digital navigation promises to help users gain a better understanding of the explored environment, and to improve people’s cognitive spatial maps when combined with animated stimuli and landmarks.

Carsten Keßler, Grant D. McKenzie
Consistency Across Geosocial Media Platforms

Preprint PDF

Abstract: The increasing use of geosocial media in research to draw quantitative and qualitative conclusions about urban environments bears questions about the consistency of the data across the different platforms. This paper therefore presents an initial comparative analysis of data from six different geosocial media platforms (Facebook, Twitter, Google, Foursquare, Flickr, and Instagram) for Washington, D.C., using population and zoning data for reference. We find that there is little consistency between the different platforms at small spatial units and even semantically rich datasets have severe limitations when predicting functional zones in a city. The results show that researchers need to carefully evaluate which platform they can use for a particular study, and that more work is needed to better understand the differences between the different platforms.

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