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.
Admittedly, the OpenRouteService Matrix API is anything but new. Already implemented in mid 2017, it’s been soaring to high demand by numerous clients across the globe ever since. Finally we want to give it the credit it deserves. The ORS Matrix API is the precursor to solve important problems like the traveling salesman problem and even more complex [...]
A recently published paper presents an approach for classifying urban blocks according to their built-up structure based on high-resolution spaceborne InSAR images. Most attributes considered in the classification describe the geometric structure and spatial disposition of the polygon and line features extracted from each block. The feature extraction is carried out on two intensity images [...]
we cordially invite everybody interested to our next open GIScience colloquium talk! Prof. Dr. Peter Baumann / Computer Science, Jacobs University, Bremen Friday, January 19 2018, 10.15 am, INF 348, Room 013, Heidelberg University, Institute for Geography Datacubes form an enabling paradigm [...]
Liebe Studierende aller Semester und Studiengänge, ich möchte Sie herzlich zu zwei besonderen Veranstaltungen im Rahmen der Vorlesung “Geodatenerfassung” in die Geographie einladen, die Sie sicher interessieren könnten: Montag, 22.01.2018 um 9.15 im gHS (INF 230, COS): Spezialvorlesung: Amtliche Geodaten bei der Stadt Heidelberg: Gewinnung, Nutzung und Vorhaltung. Hubert Zimmerer, Leiter des GIS der Stadt Heidelberg, berichtet [...]
Disaster events damage human infrastructure and its surroundings within seconds. To support humanitarian logistics, the Disaster OpenRouteService needs the latest, most accurate data available. While crowd-sourcing OSM updates during disasters proved very successful, there is not yet a convenient way of automatically accessing up-to-date OSM data for specific regions of interest. Addressing this need, HeiGIT [...]
Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the [...]
Software Engineer OSM Routing Services, Backend & Algorithms Heidelberg Institute for Geoinformation Technology (HeiGIT) You genuinely enjoy developing open source Geoinformation Services used by thousands on a daily basis? You are a highly motivated Java Backend Developer? And you love using and enhancing OpenStreetMap for high-performance services for global coverage? Then we actually might have a [...]
15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018) May 20-23, 2018, Rochester, NY, USA https://iscram2018.rit.edu/submissions Track: Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) https://iscram2018.rit.edu/sites/rit.edu.iscram2018/files/docs/ISCRAM_2018_track_GIS.pdf Deadline for paper submissions: December 10, 2017 Track Description With disasters and disaster management being an “inherently spatial” problem, geospatial information and technologies have been widely employed for supporting disaster [...]
Over the last weeks the recently introduced Climate Protection Map (Klimschutzkarte.de) has been extended to cover the whole world and features now also some new layers. The Global Climate Protection Map is based on user-contributed data from OpenStreetMap. It allows interested citizens to share information and find out about topics related to climate protection and sustainability, [...]
Die 3D-Initiative in den Geowissenschaften organisiert einen Workshop zu “3D-Geländemethoden in den Geowissenschaften” (14-16. März in Heidelberg) mit speziellem Fokus auf Workflows. Der Workshop wird von der Geoinformatik Heidelberg mitorganisiert. Willkommen sind alle Interessierten an 3D und Geo: ForscherInnen, Studis, PraktikerInnen, usw.. Eine kostenfreie Anmeldung ist aus organisatorischen Gründen zwingend nötig. Weitere Infos finden Sie [...]