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:
19.03.2018 09:37
Third Workshop on “3D Field Methods in Geosciences”

The third workshop on 3D methods in geological applications was jointly organized by the University of Göttingen, the Geological Service of North Rhine-Westphalia (NRW, German federal state), and the 3D Geo Research Group at Heidelberg University. The workshop is an event of the initiative “3D Field Methods in Geosciences”, which provides a platform to connect [...]

17.03.2018 15:21
POI/ROI Discovery using Flickr geotagged photos

In the era of big data, ubiquitous Flickr geotagged photos have opened a considerable opportunity for discovering valuable geographic information. Point of interest (POI) and region of interest (ROI) are significant reference data that are widely used in geospatial applications. A recently published study (Kuo et al 2018) study aims to develop an efficient method [...]

16.03.2018 14:49
Contribution selected for final round of GISRUK data challenge

The results of an analysis of migration data and of the Brexit referendum votes are among only four selected finalists of this year’s data challenge associated with the GISRUK conference. The research was conducted by a team advised by Professor João Porto de Albququerque (University of Warwick) including our colleague René Westerholt. The idea of [...]

15.03.2018 18:12
Preview of the ohsome Nepal dashboard

The ohsome OpenStreetMap history analytics platform, which is currently developed at HeiGIT, will make OSM’s full-history data more easily accessible. We are pleased to announce that we are coming closer to reaching our objectives, hereby sharing a preview of the first ohsome web dashboard. Our dashboards will allow you to explore [...]

13.03.2018 22:15
Reminder Deadline 30.03.2018 CFP: VGI-ALIVE Workshop at AGILE, Sweden

VGI-ALIVE - AnaLysis, Integration, Vision, Engagement Tuesday 12th June 2018, Lund, Sweden, Workshop at AGILE 2018 Introduction to the VGI-ALIVE Workshop The steady rise of data volume shared on already established and new Volunteered Geographic Information (VGI) and social media platforms calls for advanced analysis methods of user contribution patterns, leads to continued challenges in data fusion, and provides also new opportunities [...]

12.03.2018 21:06
GIScience contribution to Big Data Research Winter School with Indian IITs in Heidelberg

Currently Heidelberg University is establishing a PhD Research Training Group (RTG) on “Big Data Research“ together with several Indian Universities and Indian Institutes of Technology (IIT) in the context of the HGS MathComp at the IWR (Interdisciplinary Center for Scientific Computing). Partners from India include Allhabad University, Delhi University (MoU pending), Jawaharlal Nehru University, IIT Guwahati, [...]

09.03.2018 10:29
Masterclass and Workshop at the University of Warwick

Our colleague René Westerholt was recently invited to deliver a Masterclass on ‘Spatial Analysis’ at the University of Warwick (UK) on Tuesday, 6th of March. The one-day-event was hosted by the Q-Step Centre, an initiative to strengthen quantiative skills of students enrolled at the Social Science Faculty. The workshop was attended by students from various [...]

08.03.2018 22:12
ISPRS Education and Capacity Building Initiatives 2018

The International Society for Photogrammetry and Remote Sensing (ISPRS) is funding scientific and other initiatives, which will further improve its international status in the field of the photogrammetry, remote sensing and spatial information sciences, and will therefore benefit all ISPRS members. For 2018, seven Education and Capacity [...]

08.03.2018 11:44
LandSense Innovation Challenge

The LandSense Team is thrilled to announce the first LandSense Innovation Challenge, which targets individuals, web-entrepreneurs, start-ups and SMEs coming from all participating H2020 countries, to present innovative IT solutions in addressing one of the three LandSense domains: Urban Landscape Dynamics, Agricultural Land Use, and Forest & Habitat Monitoring (learn more here). The focus of this challenge [...]

07.03.2018 15:19
Openrouteservice for Disaster Management: Supporting Humanitarian Logistics with Hourly Updates

The Humanitarian OpenStreetMap Team (HOT) provides immediate support for disaster or humanitarian responses by coordinating and activating a global network of mappers that contribute up-to-date geodata to the OSM database. For example, after the Nepal earthquake 2015 volunteers added up to 800 km to the OSM street network per hour! This information could successfully support [...]

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