Movement data in GIS #6: updates from AGILE2017
AGILE 2017 is the annual international conference on Geographic Information Science of the Association of Geographic Information Laboratories in Europe (AGILE) which was established in 1998 to promote academic teaching and research on GIS.
This years conference in Wageningen was my time at AGILE. I had the honor to present our recent work on pedestrian navigation with landmarks [Graser, 2017].
If you are interested in trying it, there is an online demo. The conference also provided numerous pointers toward ideas for future improvements, including [Götze and Boye, 2016] and [Du et al., 2017]
On the issue of movement data in GIS, there weren’t too many talks on this topic at AGILE but on the conceptual side, I really enjoyed David Jonietz’ talk on how to describe trajectory processing steps:
In the pre-conference workshop I attended, there was also an interesting presentation on analyzing trajectory data with PostGIS by Phd candidate Meihan Jin.
I’m also looking forward to reading [Wiratma et al., 2017] “On Measures for Groups of Trajectories” because I think that the presentation only scratched the surface.
[Du et al, 2017] Du, S., Wang, X., Feng, C. C., & Zhang, X. (2017). Classifying natural-language spatial relation terms with random forest algorithm. International Journal of Geographical Information Science, 31(3), 542-568.
[Götze and Boye, 2016] Götze, J., & Boye, J. (2016). Learning landmark salience models from users’ route instructions. Journal of Location Based Services, 10(1), 47-63.
[Graser, 2017] Graser, A. (2017). Towards landmark-based instructions for pedestrian navigation systems using OpenStreetMap, AGILE2017, Wageningen, Netherlands.
[Jonietz and Bucher, 2017] Jonietz, D., Bucher, D. (2017). Towards an Analytical Framework for Enriching Movement Trajectories with Spatio-Temporal Context Data, AGILE2017, Wageningen, Netherlands.
[Wiratma et al., 2017] Wiratma L., van Kreveld M., Löffler M. (2017) On Measures for Groups of Trajectories. In: Bregt A., Sarjakoski T., van Lammeren R., Rip F. (eds) Societal Geo-innovation. GIScience 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham
This post is part of a series. Read more about movement data in GIS.