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Modeling the geographic distribution of tourists at a tourist destination is crucial when it comes to enhancing the destination’s resilience to disasters and crises, as it enables the efficient allocation of limited resources to precise geographic locations. Seldom have existing studies explored the geographic distribution of tourists through understanding the mechanisms behind it. In a recently published article we propose to couple maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists in order to facilitate disaster and crisis management at tourist destinations. As one of the most popular tourist destinations in the United States, San Diego was chosen as the study area to demonstrate the proposed approach. We modeled the tourist geographic distribution in the study area by quantifying the relationship between the distribution and five environmental factors, including land use, land parcel, elevation, distance to the nearest major road and distance to the nearest transit stop. The geographic distribution’s dependency on and sensitivity to the environmental factors were uncovered. The model was subsequently applied to estimate the potential impacts of one simulated tsunami disaster and one simulated traffic breakdown due to crisis events such as a political protest or a fire hazard. As such, the effectiveness of the approach has been demonstrated with specific disaster and crisis scenarios.

Yingwei Yan , C.-L. Kuo, C.-C. Feng, W. Huang, H. Fan & A. Zipf (2018) : Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists. International Journal of Geographical Information Science (IJGIS), https://doi.org/10.1080/13658816.2018.1458989

Related earlier work
Yan, Y., M. Eckle, C.-L. Kuo, B. Herfort, H. Fan and A. Zipf (2017): Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data. International Journal of Geo-Information, ISPRS IJGI. 6(5), 144; doi:10.3390/ijgi6050144

Our PLATIAL’18 workshop on place-based analysis in September is approaching quickly, and so is the submission deadline. Please be aware that the call closes next week:

Wednesday, 25 July 2018, 11.59 pm (CEST)

Looking forward to your valuable submissions and participation!

Another chapter in machine human fusion land use device narrative: new Sentinel 2 osmlanduse.org product results based on OpenStreetMap plus Sentinel 2 data plus Machine Learning were presented at ToulouseSpaceShow 2018 during a European Space Agency (ESA) Research and User Support (RUS) event. Stay tuned: The new product will soon be available for all EU countries @10m resolution using Corine Land cover/use nomenclature! https://photos.app.goo.gl/7rgRwNa2ZW4YqRMp9 # photos + slides from the event https://www.toulousespaceshow.eu/tss18/ # Toulouse space show 18 https://rus-copernicus.eu/portal/ # RUS service Related earlier work:

Schultz, M., Voss, J., Auer, M., Carter, S., and Zipf, A. (2017): Open land cover from OpenStreetMap and remote sensing. International Journal of Applied Earth Observation and Geoinformation, 63, pp. 206-213. DOI: 10.1016/j.jag.2017.07.014

Novack, T., J. Voss, M. Schultz, A. Zipf (2018, accepted): Associating OpenStreetMap tags to CORINE land-cover classes using text and semantic similarity measures. VGI-ALIVE Workshop at AGILE 2018. Lund, Sweden.

Chen, J., Zipf, A. (2017): Deep Learning with Satellite Images and Volunteered Geographic Information. In: Karimi, H. A. and Karimi, B. (eds.): Geospatial Data Science: Techniques and Applications. Taylor & Francis.Jokar Arsanjani, J., Mooney, P., Zipf, A., Schauss, A., (2015): Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M., OpenStreetMap in GIScience: experiences, research, applications. ISBN:978-3-319-14279-1, PP. 37-58, Springer Press.

Dorn, H., Törnros, T. & Zipf, A. (2015): Quality Evaluation of VGI using Authoritative Data – A Comparison with Land Use Data in Southern Germany. ISPRS International Journal of Geo-Information. Vol 4(3), pp. 1657-1671, doi: 10.3390/ijgi4031657

Jokar Arsanjani, J., Helbich, M., Bakillah, M., Hagenauer, J., & Zipf, A. (2013). Toward mapping land-use patterns from volunteered geographic information. International Journal of Geographical Information Science, 2264-2278. DOI:10.1080/13658816.2013.800871.

FOSS4G Europe as the European community event on free and open source gis is taking place this week July 16 to 20th, 2018 in Guimarães Portugal.
A. Zipf is giving a talk about supporting personalised pedestrian routing options (like healthy and quiet routing) as well as wheelchair routing and navigation based on open source and open data. He’ll share how this is being realized in Openrouteservice using mainly OSM data.

Recent examples with main contributors from HeiGIT and GIScience Heidelberg include healthy greenquiet routing, Landmark based navigation, routing across open spaces and much more… E.g. for the ORS API exists a QGIS plugin, geoJSON support, a very handy Python library and a library for R users for all service from routing (directions), isochrones, geocoding, POI search, to time-distance matrixes. Enjoy! and contribute: open source code in GitHub

Try ORS API: https://go.openrouteservice.org

or ORS Online Clienthttps://maps.openrouteservice.org

https://foss4g-europe.osgeopt.pt

Flood events caused serious harm in wide areas of Japan and Sri Lanka over the last couple of weeks. Heavy rain, floods and landslides occured in South West area of Japan and monsoon rains have caused severe flooding in the Kurunagala and Puttalam districts of Sri Lanka.

The Humanitarian OpenStreetMap Team (HOT) has received requests from the Japan Red Cross Society as well as from the Disaster Management Centre of Sri Lanka to trace buildings in the inundated areas.

disastermappers heidelberg and HeiGIT/GIScience Research Group invite you to our end of semester Mapathon to support HOT in these efforts! In contrast to previous events, this time you will not only learn about OpenStreetMap (OSM) and how to contribute, but also get familiar with OSM data validation.

Why? Map data creation is crucial in disaster scenarios and the contributed data can help first responders and the local community to coordinate efforts. The value of OSM data furthermore increases when it is reviewed and lessons learned are ultimately applied. Accurate maps can then help to enable confident use of the data.

Russ Deffner, HOT Associate Project Manager and Activation Working Group, will also be joining use via Skype and provide insights about the projects and the use of the data on the ground.

HOT

When?       Thursday 19.07.2018, 6 pm

Where?     Großer Hörsaal, Geographisches Institut, Berliner Straße 48

As usual, we will provide an introduction to OSM mapping, therefore there is no previous knowledge needed. Additionally, an introduction into validation of OSM data in the Tasking Manager is offered.

We also reserved the PC Pools, however due to limited availability, bring your own laptop and mouse if available.

Snacks and drinks will for sure be provided!

To round up the Mapathon and enable further get together and exchange, we will moreover fire up the BBQ! Therefore, make sure to bring your ribs or veggies.

We are looking forward to seeing you on Thursday,

your disastermappers

FOSS4G 2018 is only 42 days away and we are excited to present our Openrouteservice for Disaster Management there. Furthermore, we will provide insights on the potential of the ohsome platform for the HOT community. Check out the program for further details.
We hope to see you in Dar es Salaam, Tanzania, August 27 - 31th, at “the world’s largest gathering of open source geospatial users, developers, and researchers” (FOSS4G 2018).

Our GIScience Research Group team member Julian Bruns has recently defended his PhD at the Karlsruhe Institute of Technology (KIT) at the FZI in the project BigGIS. Congratulations Julian, well done!
The topic of the thesis was “Robust Modeling of Spatio-Temporal Dependencies and Hot Spots” at the Institut für Informationswirtschaft und Marketing at KIT.

We cordially invite everybody interested to our next open GIScience colloquium talk

The speaker is Prof. Jochen Albrecht
Professor of Computational and Theoretical Geography, Hunter College, City University of New York

When: Monday 16.07.2018, 2:15 pm

Where: INF 348, room 015 (Institute of Geography, Heidelberg University)

Open Source Foundations for Spatial Decisions Support Systems

Spatial Decision Support Systems (SDSS) were a hot topic in the 1990s, when researchers tried to embue GIS with additional decision support features. Successful practical developments such as HAZUS or CommunityViz have since been built based on commercial desktop software and without much heed for theory other than what underlies their process models. Others, like UrbanSim, have been completely overhauled twice but without much external scrutiny. Both, the practical and theoretical foundations of decision support systems have developed considerably over the past 20 years and I will present an overview of these developments and then take a look at what corresponding tools have been developed by the open source communities. In stark contrast to the abundance of OpenGeo software, there is currently no open source SDSS. The presentation will therefore conclude with a discussion of different approaches that lend themselves to be used as platforms for us to develop an open source framework to build an SDSS according to our needs.

Members of the HeiGIT team were presenting parts of our work at this years AGIT/GI_Forum conference in Salzburg, Austria (as already announced in a previous blogpost).

Julian Bruns was presenting the results of a joint work with the KIT and his old employer, the FZI, which is published in the GI-Forum journal (English conference running in parallel to the AGIT), as well as the rich diversity of our routing software openrouteservice.

Fabian Kowatsch was giving a talk about the ohsome platform explaining the current status-quo of the development, which was published as a short-paper in the German language AGIT-journal.

Additionally to the talks, a poster of the GIScience group and a poster of the HeiGIT were presented in the poster session:

HeiGIT

Global Climate Protection Map

The discussions and the interest at the conference showed that our developments are useful for and acknowledged by the GI-community, researchers and users alike.

The study “Mobile low-cost 3D camera maize crop height measurements under field conditions” (see the respective blog entry) is now available also as print version:

The updated citation is:

Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture 19(4), pp. 630-647. doi: 10.1007/s11119-017-9544-3.

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