Forschungsprojekt

Psychogeography

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:
News
10.08.2017 08:56
HeiGIT/GIScience Heidelberg partnership with Humanitarian OpenStreetMap Team (HOT)

We are happy to hereby announce the official partnership of the HeiGIT/GIScience Research Group Heidelberg and the Humanitarian OpenStreetMap Team (HOT)! The GIScience Research Group at Heidelberg University has been supporting the use of OpenStreetMap for humanitarian and disaster management purposes already since 2008 when the first instance of the Disaster and Emergency OpenRouteService was developed [...]

07.08.2017 12:23
ArchEyeAutomatic summer school 2017

From 26 to 28 July, the 3D spatial data processing group contributed to the “ArchEyeAutomatic summer school 2017: Cameras, Drones, and Laser scanning. Modern ways to document ancient objects”. With a focus on documenting and analyzing archaeological sites and objects, the summer school introduced around 40 participants to various methods of close-range remote sensing at [...]

05.08.2017 16:30
Heidelberg Center for the Environment: Call for Project Ideas (Deadline: 17 Sept 2017)

The funding program HCE-START of the Heidelberg Center for the Environment (HCE) for the developement of major interdisciplinary projects dealing with environmental research questions has been extended. The new application deadline is 17.09.2017. HCE-START will be run and hosted at Heidelberg University only. HCE-START aims to support two interdisciplinary research lines: 1) the initiation of externally funded [...]

01.08.2017 11:13
Innsbruck Summer School of Alpine Research 2017: Close Range Sensing Techniques in Alpine Terrain

From 16 to 22 July, the second ISPRS Summer School of Alpine Research took place in Obergurgl, Austria. Around 40 participants from four continents enjoyed a mix of lectures, field work and hands-on data processing related to various research topics in high mountain research. Hosted at the beautifully located and perfectly equipped Alpine Research [...]

31.07.2017 16:30
Heidelberg Center for the Environment: Bernhard Höfle joins the Board of Directors

The Executive Committee of the Heidelberg Center for the Environment (HCE) - the interdisciplinary research center for Environmental Sciences at Heidelberg University - has appointed Prof. Bernhard Höfle as new Vice-Director for Natural Sciences. Prof. Thomas Meier was appointed new Executive Director and Prof. Jale Tosun new Vice-Director for Social Sciences. The directors are responsible [...]

17.07.2017 10:56
Determination of building inundation depths based on user-generated flood images - new study published

In our recently published study “Direct local building inundation depth determination in 3-D point clouds from user-generated flood images” we present a new approach for deriving local building inundation depth from ordinary user-generated flood images captured during a flood event. After reconstructing a 3-D scene of the building of interest with close-range photogrammetry (CRP) algorithms, [...]

14.07.2017 09:19
Adding Landmark based Navigation Instructions to OpenRouteService

A recently published paper (Rousell & Zipf 2017) presents a prototype navigation service extending OpenRouteService (Schmitz et al. 2008) that extracts landmarks suitable for pedestrian navigation instructions from the OSM dataset based on several metrics. In general, when providing instructions on how to get somewhere, people generally include landmarks in their instructions - “Turn left [...]

13.07.2017 19:49
Happy Birthday MapSwipe!

Already one year ago that MapSwipe was officially launched! A big thank you to our contributors for your support - one year of tapping, swiping and putting families on the map! In just one year thousands of users contributed more than 10 million taps and thereby provided crucial information on unmapped places. In projects like shown below settlement [...]

13.07.2017 15:06
Martin Hämmerle receives PhD

Yesterday, our colleague Dr. Martin Hämmerle defended his PhD thesis with great success. We would like to congratulate him - with our sincere thanks for his hard work and amazing research the last years. Martin is an expert on 3D geodata (with focus on 3D point clouds from LiDAR and photogrammetry), methods for 3D processing and [...]

11.07.2017 09:57
3D bathymetry measurements in shallow-water environments with a low-cost sensor - study published

To take bathymetric measurements in areas with shallow water is very challenging for methods such as SONAR or bathymetric LiDAR. In our study “Assessing the Potential of a Low-Cost 3-D Sensor in Shallow-Water Bathymetry”, we examine the performance of a low-cost 3D camera when capturing bathymetry in waters up to 0.4 m depth. The tested measurement [...]

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