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:
17.01.2018 18:11
New OpenRouteService Matrix API to speed up batch routing calculations

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 [...]

16.01.2018 17:59
Context-Based Classification of Urban Blocks According to Their Built-up Structure

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 [...]

15.01.2018 16:30
Colloquium Presentation: Datacubes: A Step Towards Analysis-Ready Big Data (Prof. Peter Baumann)

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 [...]

13.01.2018 17:11
Zwei besondere öffentliche Vorlesungen zur Geodatenerfassung

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 [...]

12.01.2018 15:00
New Real-time OSM service provides custom up-to-date Extracts of OpenStreetMap Data

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 [...]

10.01.2018 18:11
Deep Learning with Satellite Images and Volunteered Geographic Information

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 [...]

09.01.2018 10:01
Open Position: Software Developer: OpenStreetMap Routing Services, Backend & Algorithms

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 [...]

08.01.2018 11:02
GIS @ ISCRAM - Call for SHORT PAPERS - DL: Jan 21

15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018) May 20-23, 2018, Rochester, NY, USA Track: Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) 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 [...]

04.01.2018 13:02
OSM Climate Protection Map went Global

Over the last weeks the recently introduced Climate Protection Map ( 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, [...]

02.01.2018 11:05
Workshop zu “3D-Geländemethoden in den Geowissenschaften” (15.-16.3.2018 in Heidelberg)

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 [...]

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