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
11.02.2025 12:08
In their words: voices of women in science

Today, on February 11th, together with the International Day of Women and Girls in Science, we are celebrating women and girls in science, technology, engineering, and mathematics (STEM). Established by the United Nations, this day underscores the need for gender equality in scientific fields and recognizes the contributions of women scientists around the world. Despite […]

05.02.2025 14:13
New Paper “Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study”

The novel coronavirus disease (COVID-19) generated significant health concerns worldwide, leading policymakers and health care experts to implement nonpharmaceutical public health interventions to mitigate the spread of the virus. While these interventions played a crucial role in controlling transmission, they also resulted in substantial economic and societal costs, necessitating strategic deployment, particularly during periods of […]

04.02.2025 14:52
Ohsome Quality API enhancements for the attribute completeness indicator

Fig. 1: New feature: combining attributes We recently added the attribute completeness indicator to the Ohsome Dashboard, and we’re now happy to introduce major upgrades to its functionalities. The ohsome quality API (OQAPI) and the ohsome dashboard The ohsome quality API was built to provide data quality estimations for OpenStreetMap data. There are currently four […]

29.01.2025 13:32
New paper “STVAE: Skip connection driven two-stream property Fusion Variational AutoEncoder for cross-region wastewater treatment plant semantic segmentation”

Wastewater treatment plants (WWTPs) play a crucial role in maintaining ecological balance and public health and are essential for advancing social sustainable development goals. However, the diverse architectural styles, scales, and environmental contexts of WWTPs—shaped by climate, topography, and regional economic conditions—pose significant challenges for generalizing segmentation algorithms. To address this, integrating knowledge from different […]

28.01.2025 11:16
High-resolution maps of carbon dioxide emissions

Road traffic and residential heating are the two main sources of CO₂ emissions in many cities. HeiGIT´s new emission inventories map these emissions and can simulate the effects of new policies and interventions. We calculated how emissions would change in Heidelberg, Germany, if we introduced a 30 km/h road speed limit and replaced oil and […]

23.01.2025 08:44
OSM Completeness with Overture maps data

Free and open-source map data has become a keystone for research across diverse fields. The extensive coverage of OpenStreetMap (OSM) data allows scientists to conduct independent studies without relying on corporate collaborations or investing heavily in proprietary datasets. However, OSM data coverage completeness varies significantly by location. Moreover, the latest data updates cannot always be […]

20.01.2025 08:39
New paper “Leveraging geospatial data to evaluate women’s employment opportunities in the renewable energy sector”

The renewable energy (RE) sector is a cornerstone of global climate action, yet its workforce remains marked by gender inequality. Women are significantly underrepresented, often relegated to lower-paid, non-technical roles. Traditional analyses of this disparity frequently ignore the spatial dimensions that influence women’s employment opportunities—factors like public transportation access, safety, and neighborhood walkability. Addressing these […]

16.01.2025 01:44
New Paper “Evaluation of accessibility disparities in urban areas during disruptive events based on transit real data”

Studies have long assessed people’s accessibility to amenities through public transportation, typically using General Transit Feed Specification (GTFS) data. GTFS reflects planned transportation schedules, detailing the intended services and routes of transit systems. However, this approach raises an important question: are we missing critical insights by not incorporating real-time information? A recent study led by […]

14.01.2025 11:11
ohsome-py 4.0.0

The ohsome-py Python package is a client for the ohsome API, designed to facilitate the extraction and analysis of historical OpenStreetMap (OSM) data. The package simplifies handling API requests and responses by converting them into pandas or GeoPandas data frames, making data analysis and visualization easier. With ohsome-py, you gain all the functionalities of the […]

08.01.2025 12:00
Acting Before the Disaster Happens: QGIS Training and Risk Assessment for Riverine Floods in Pakistan

In the field of humanitarian aid, Anticipatory Action (AA) is emerging as an important strategy to mitigate the impacts of natural disasters. At HeiGIT, we have been actively working with this approach to support local communities in building resilience. Unlike traditional reactive responses, AA aims to initiate predefined actions based on weather forecasts and risk […]

18.12.2024 12:22
The Year 2024 at HeiGIT

With 2024 drawing to a close, we reflect on a year filled with events, accomplishments and opportunities to make a positive impact. Halfway through the year, we celebrated HeiGIT’s fifth anniversary—a moment to appreciate how far we’ve come and everything we’ve accomplished together. From our early days to the milestones of 2024, our growth sets […]

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