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:
20.09.2023 02:32
Prof. Dr. Alexander Zipf hält Vortrag zum Thema “Klimaschutz und humanitäre Hilfe: Unterstützung aus der Geoinformatik”

Am 23. September 2023 hält Herr Prof. Dr. Alexander Zipf, Scientific and Managing Director bei HeiGIT und Professor für Geoinformatik / GIScience (GIS) an der Universität Heidelberg, einen Vortrag zum Thema “Klimaschutz und humanitäre Hilfe: Unterstützung aus der Geoinformatik”. Staatliche Institutionen und humanitäre Organisationen benötigen möglichst detaillierte Informationen zur Lage und Situation vor Ort. Nur […]

19.09.2023 17:17
HeiGIT at the GIScience Conference in Leeds

HeiGIT and GIScience members Adam Rousell, Anne Schauss, Christina Ludwig and Nir Fulman were invited to present their work at the 12th International Conference on Geographic Information Science in Leeds. The conference took place from September 12-15. The first day was dedicated to workshops and tutorials, while short and full papers, as well as posters […]

19.09.2023 10:23
HeiGIT contributes to German Congress for Geography and Young Congress for Geography 2023

From 19th until 23th September 2023 the 62nd German Congress for Geography (DKG) and Young Congress for Geography (JGK) will take place at the Goethe-Universität Frankfurt. The congress under the motto “Planetary Futures” aims to become a lively and vibrant place for scientific exchange on current issues, important research questions and societal problems. HeiGIT will contribute with […]

15.09.2023 14:28
Kick-off: AImon5.0 – Real-time monitoring of gravitational mass movements for critical infrastructure risk management with AI-assisted 3D metrology

In September 2023, our new research project AImon5.0 has been kicked-off. In this project the open-source frameworks HELIOS++ and py4dgeo of the 3DGeo research group will be combined to enhance current approaches for operational risk monitoring. AImon5.0 is an interdisciplinary collaboration project of the 3DGeo research group with DMT GmbH & Co. KG (project leader), […]

11.09.2023 11:38
Impressions from Silvilaser 2023

Last week, our PhD student, Hannah Weiser, joined Silvilaser 2023 at University College London (UCL). The conference covers cutting-edge science and technology from the laser scanning and forest communities, which is a perfect match for Hannah’s PhD topic and 3DGeo research in general. The week started off with interesting workshops on Tuesday using some of […]

07.09.2023 12:55
Expanding Disaster Management Capabilities with openrouteservice

In the context of disaster management, time is of the essence. Quick and accurate response can make all the difference in saving lives and mitigating damage. That’s why the openrouteservice (ORS) for Disaster Management is taking a step forward by expanding its coverage to larger areas. This upgrade is set to improve the possibilities of […]

31.08.2023 13:53
Version 1.0 of the ohsome quality API and ohsome dashboard

At HeiGIT and in particular within the ohsome team, we strive to provide valuable insights into OpenStreetMap (OSM) data. The ohsome API offers aggregated statistics on the evolution of OSM elements since 2020. These are made easily accessible by the ohsome dashboard. With the ohsome quality API, previously called ohsome quality analyst (OQT), we continue […]

29.08.2023 14:32
Happy, Green Cities: Nina Krašovec’s Geospatial Exploration of Urban Vegetation

Until recently, Nina Krašovec was a research assistant at the GIScience research group. This article is the result of an interview, where she spoke about her work at the time and her motivations. We would like to use this article as an opportunity to express our appreciation of her work at HeiGIT and to wish […]

23.08.2023 16:46
Taginfo goes ohsome

Did you know that the OpenStreetMap (OSM) taginfo site now lets you access the ohsome dashboard? This allows you to gain refined insights into the usage stats of specific keys and tags. Taginfo is the main source for statistics about keys, tags and current tag usage. In most cases, you have to acces a localized […]

17.08.2023 04:10
HeiGITs Disaster Portal in Radiobeitrag vorgestellt

Campusreporter Nils Birschmann hat mit Prof. Alexander Zipf über unser Disaster Portal gesprochen. Das Interview wurde über Radio Regenbogen ausgestrahlt. Hier könnt ihr euch den Beitrag in voller Länge anhören: Audiobeitrag: Das Disaster Portal – sichere und schnell verfügbare Datengrundlagen im Katastrophenfall Darum geht’s: Im Katastrophenfall sind Hilfskräfte auf aktuelle Ortsdaten der betroffenen Region angewiesen: Welche […]

11.08.2023 04:11
Visualizing OQT API Results in QGIS

Using the ohsome dashboard, it is possible to explore quality estimation for OpenStreetMap (OSM) data from the ohsome quality analyst (OQT) for arbitrary regions. Also, OQT does provide an API to programmatically fetch quality estimation for a lot of different regions in one request. Chances are that one wants to visualize the results on a […]

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