During the last decades, the epidemiological research has given indications that mental diseases including depressions and anxiety disorder can be related to socio-economic, as well as to environmental risk factors. In this project, geodata will be collected and maps showing the potential risk of mental stress in urban environments (urban stress) will be created. The aim is to address the relationship between mental stress and urban characteristics.
In order to address the relationship between mental stress and the urban environment, heterogeneous spatial data has to be collected from a various amount of sources. These include both public and private sources. In addition to that also crowd sourced data will be used. The approach is to first create a homogenous spatial data base that includes relevant socio-economic data (population density, crime statistics, migration- and unemployment ratio etc.) and data regarding the urban environment (noise, air quality, access to public green space, among others). In order to create a homogenous data base, the data from different sources have to be georeferenced, geocoded, transformed, tested for quality and projected in the same coordinate system. Eventually, this will offer a solid database for the study area which incorporates the Rhine-Neckar region, Heidelberg, Mannheim and Ludwigshafen in southern Germany.
The relationship between mental stress and the urban environment will thereafter be addressed by correlating questionnaire data with the spatial urban environment data.Selected Publications:
- Reichert, M., Tost, H., Reinhard, I., Schlotz, W., Zipf, A., Salize, H.-J., Meyer-Lindenberg, A., & Ebner-Priemer, U. W. (2016, in press). Exercise vs. non-exercise activity: e-diaries unravel distinct effects on mood. Medicine & Science in Sports & Exercise.
- Reichert, M., Tost, H., Reinhard, I., Zipf, A., Salize, H., Meyer-Lindenberg, A., Ebner-Priemer, U.W. (2016): Within-subject associations between mood dimensions and non-exercise activity: An ambulatory assessment approach using repeated real-time and objective data. Frontiers in Psychology. 7:918. DOI:10.3389/fpsyg.2016.00918
- Törnros, T., Dorn, H., Reichert, M., Ebner-Priemer, U., Salize, H.-J., Tost, H., Meyer-Lindenberg, A., Zipf, A. (2016): A comparison of temporal and location-based sampling strategies for GPS-triggered electronic diaries." Geospatial Health. Vol 11, No 3. DOI:10.4081/gh.2016.473.
- Reichert, M., Törnros, T., Hoell, A., Dorn, H., Tost, H., Salize, H.-J., Meyer-Lindenberg, A., Zipf, A., Ebner-Priemer, U. W. (2016). Using Ambulatory Assessment for experience sampling and the mapping of environmental risk factors in everyday life. Die Psychiatrie. 2/2016. 94-102. (pdf)
- 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
- Törnros, T., Dorn, H., Hahmann, S., and Zipf, A. (2015): Uncertainties of completeness measures in OpenStreetMap - A Case Study for buildings in a medium-sized German city, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 353-357, doi:10.5194/isprsannals-II-3-W5-353-2015.
- Dorn, H., Törnros, T., Reichert, M., Salize, H.J., Tost, H., Ebner-Priemer, U., Meyer-Lindenberg, A., Zipf, A. (2015): Incorporating Land Use in a Spatiotemporal Trigger for Ecological Momentary Assessments. In: Car, A., Jekel, T., Strobl, J., Griesebner, G. (Eds.), GI_Forum 2015 – Geospatial Minds for Society (pp. 113-116). Journal for Geographic Information Science, 1.
Max is two and loves spending Monday afternoons with his Dad at the playground. Finding a suitable playground however isn’t easy, since a few criteria must be met: there should be a bench and some trees nearby to get shelter from the sun and an ice cream shop within the neighbourhood. Using the new spatial [...]
The call for State of the Map 2019 (SOTM) academic track is now open until: 10th May 2019. Read more: https://2019.stateofthemap.org/calls/academic/ tl;dr Please read the submission guidelines and submit your presentation proposal before May 10 to the submission form. This year’s State of the Map conference in Heidelberg will again feature a full day Academic Track session. Following on from the [...]
A GIScience Heidelberg team (Melanie Eckle, Katharina Przybill, Vivien Zahs, Martin Hilljegerdes and Sven Lautenbach) takes part in the Kinderuni 2019 coming Saturday. Our aim is to introduce giscience methods in a playful and hands-on way to the participating kids. We will introduce remote mapping, 3d pointclouds and much more in a scavenger hunt - [...]
openrouteservice Io is here! The openrouteservice from HeiGIT has just had its latest update, and we want to introduce you to Io (version 5.0). This new version brings something that has been a while in the making and will make things a lot easier when it comes to requesting information from the openrouteservice - a new [...]
We, the Big Spatial Data Analytics Group at HeiGIT have ohsome news to share: From now on, you can send your requests to our global ohsome API instance. So far, we’ve had a public instance for Nepal and Germany, but now you can analyse OSM’s history globally. Additionally to the API, we also have a global dashboard instance. You choose any country, [...]
Problemstellung Bis dato wird eine wichtige Eigenschaft infrastruktureller Straßennetzdaten wie OSM in noch keiner frei verfügbaren Routing Anwendung voll ausgenutzt: zeitliche Restriktionen auf Straßen und Wegen, wie etwa tageszeit- oder saisonale Fahrbahnbeschränkungen. Dies ist unter anderem für Transport-Logistik-Firmen für ein effizientes Flottenmanagement (z.B. zeitlich variable Fahrverbote für Lastkraftwagen) von Bedeutung, aber auch im Hinblick auf eine Zukunft [...]
In order to analyze the quality of OSM data, a study at GIScience Heidelberg investigated the influence of the mappers’ cultural backgrounds on their mapping behavior and hence questioned the general validity of semantic (street) classifications in OSM. Nepal was hit by a series of earthquakes in April 2015. The OSM community quickly reacted by organizing [...]
The 3DGeo research group has now a brand new 3DGeo logo! The logo is one result of our recent retreat to Lochau. And here it is: The creative “o” represents the process from raw 3D data via various data models to real-world phenomena - or vice versa. Isn’t that cool? Check out the logo on [...]
Volunteered Geographic Information (VGI) such as OpenStreetMap (OSM) can be a rich resource for many applications. Therefor VGI-projects have to mitigate between the requirements of the the volunteers and the machines. On the one hand, the data format should be simple and general in order to make contributing to the project easy for the volunteers. [...]
Recently, earth observation by satellites has shown great capability in supporting a range of challenges such as disaster assessment, agriculture monitoring, and humanitarian mapping. MapSwipe, as a humanitarian mapping app, provides a crowdsourcing platform to collect volunteered geographical information (VGI), in order to generate the demanding base map of human settlements for better planning of [...]