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.
Tuesday night central Mexico was struck by an earthquake with the magnitude of appr. 7.1, causing the collapse of several buildings in Mexico City and serious harm for the local population. This event is the latest of a number of disasters in the recent weeks, including hurricanes and floods. Just twelve days before, the southern mexican [...]
Canada- picturesque mountains, craggy-coasts, vast untouched landscapes, diverse cultures- and a country that is increasingly supporting the use of open data. In this vein, last week the capital of Canada became a place for exchange, knowledge sharing and awareness building all around the use of open data to support humanitarian and disaster related purposes. The [...]
Last week, our colleagues Franz-Benjamin Mocnik and René Westerholt participated in a summer school of the DFG priority programme on “VGI”. GIScience Heidelberg is involved in that programme by two projects, one of which is dealing with data quality issues and another one that investigates the assessment of spatial assotiations in social media data. The [...]
We are currently guest-editing a special issue on “urban geoinformatics” in the Taylor & Francis journal “Geo-Spatial Information Science”. On this occasion, we’d like to encourage you to submit your crowdsourcing-related work emphasizing urban issues: Title: Crowdsourcing for Urban Geoinformatics Deadline: 30 October 2017 Guest editors: Hongchao Fan, Wuhan University, (firstname.lastname@example.org) João Porto de Albuquerque, University of Warwick, (J.Porto@warwick.ac.uk) René Westerholt, [...]
The second noteworthy news this week is that we have finally introduced the much-awaited time-distance matrix service with which you can finally compute one-to-many, many-to-one or many-to-many routes for any mode of transport provided by OpenRouteService. This service basically provides a terribly fast computation of time and distance between a set of input locations. Let’s [...]
Less restrictions; added SAC In the past you might have noticed that by using dynamic options - for instance avoidables or vehicle characteristics - your routes were restricted to a much smaller distances than without using any kind of profile parameters. The latest version of the API resolves this issue and lets you compute routes up [...]
GIScience Heidelberg recently contributed to the Annual International Conference, which was held in the premises of the Royal Geographical Society and at the Imperial College in London. Together with João Porto de Albuquerque from the University of Warwick, our member René Westerholt convened two workshop sessions about “spatial urban analytics” on Friday 01 September (link [...]
The Humanitarian OpenStreetMap Team (HOT) is currently coordinating OSM mapping activities as response to Hurricane “Irma” which is affecting the islands of the Caribbean and Florida, as well as to the severe floods in Bangladesh. Besides these two heavily affected regions, in the early morning hours a severe earthquake with magnitude of 8.1 hit Mexico. In [...]
This year the capital of Canada will become the gathering place for the Humanitarian OpenStreetMap Team (HOT) and Missing Maps community and partners. September 12th/13th the Missing Maps members will come together for their annual meeting to discuss current projects, challenges, ideas and future plans. The next two days, September 14th/15th, the HOT Summit will provide [...]
http://bit.ly/2upEw7a <- LandSense Questionnaire LandSense aims to develop an online marketplace where companies that develop IT solutions using LULC data in one of three themes - urban, rural, and forestry, can acquire this information and further develop their products. By completing this questionnaire, you help us develop and further enhance our platform. Thank you very [...]