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
23.01.2018 09:42
Open Position: Software Developer Geoinformation Technology
, Heidelberg

Open Position: Software Developer (Web) Geoinformation Technology
 (OSM) Heidelberg Institute for Geoinformation Technology (HeiGIT) and GIScience Research Group In the context of research projects at HeiGIT and the GIScience Research Group we offer the position of a Software Developer Geoinformation Technology in Heidelberg (full-time or part-time). Depending on your experience the tasks are related to at least one of [...]

22.01.2018 18:11
ORS NEWS: more frequent updates, new GPX response, snapping tolerance

Updating the ORS routing graph… frequently! We’re very happy to announce two more important core features for our services: Weekly OSM planet.pbf update! md5 checksum included in response! How old is the OpenStreetMap planet file which was used to build the openrouteservice road network? This is a question many of you have asked over the past. To this end, we finally [...]

20.01.2018 09:09
Colloquium Presentation on Context-Aware Movement Analysis (Dr. Mohammad Sharif)

we cordially invite everybody interested to our next open GIScience colloquium talk Context-Aware Movement Analysis: An Application to Similarity Search of Trajectories Dr. Mohammad Sharif Department of Geographic Information Systems, Faculty of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran Time and date: Mon, January 22, 2:15 pm Venue: INF 348, Room 015, Department of Geography, Heidelberg University Studying movement [...]

19.01.2018 18:45
OSMlanduse.org + Remote Sensing = New conterminous land use data set for Germany released - filling gaps in OSM through machine learning

Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org. When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using remote [...]

19.01.2018 09:35
Love Maths? - GIScience HD visits “MatheLiebe” Exhibition Heidelberg

This week the GIScience research group Heidelberg and HeiGIT visited the exhibition “MatheLiebe” in Heidelberg. The exhibition demonstrates that: • Mathematics is understandable not only for scientists, but for everyone, • that mathematics is interesting and useful and full of exciting surprises, • and that mathematics is important for technological progress and for our everyday lives. We very much [...]

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 [...]

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