Results

Map with a red route line and a photo of a disaster area with collapsed buildings and rubble
  • In category: Geoinformation for Humanitarian Aid, Smart Mobility
Dynamic routing for disaster response in Venezuela

Following the catastrophic earthquakes in Venezuela on June 24, 2026, humanitarian organizations face a compromised operational landscape. With over 3,600 confirmed fatalities and tens of thousands missing, the immediate priority…

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Outdoor event with people walking near white tents and a laptop showing a computer vision interface on a table indoors with people in the background
  • In category: General, Geoinformation for Humanitarian Aid
A Computer Vision Workshop with Tomorrow’s Mappers
At Explore Science 2026, young students experimented with computer vision for humanitarian mapping: an occasion to learn how AI models are trained and why human input remains essential for generating…
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Presentation slide with text 'Introducing a new service for public transport routing' and a photo of a bus at a stop with people nearby
  • In category: Smart Mobility
Introducing a new service for public transport routing

For well over a decade, our team has been transferring research to our ecosystems of mobility tools. These services are stable and maintained. Developing a dedicated public transit routing engine…

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Group of people outdoors looking at a map and a hexagonal inset showing a digital map with highlighted zones
  • In category: Geoinformation for Humanitarian Aid
Sketch Map Tool use-case in the EVCA context 

The Colombian Red Cross’s Disaster Risk Management (DRM) team works to mitigate the impact of emergencies and enhance community resilience throughout the country. Coordinating actions at both national and regional…

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Rooftop solar panels on residential buildings under a clear blue sky alongside text about identifying potential for rooftop solar energy with the Climate Action Navigator
  • In category: Climate Action
Identifying Potential for Rooftop Solar Energy with the Climate Action Navigator
A new assessment tool has been released on the Climate Action Navigator: it shows where building rooftops are equipped with solar panels, highlighting potential for further sustainable energy production in…
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Aerial view of a city with roads highlighted in red and blue overlaid with text 'NEW PAPER Unveiling spatiotemporal mechanisms of urban traffic'
  • In category: Research
New Paper “Unveiling spatiotemporal mechanisms of urban traffic: multi-scale determinants and explainable street-level dynamics of a graph neural network in Berlin”
Public traffic speed data usually cover only some parts of city road networks. In this paper, the authors present a clear framework to estimate missing street-level traffic speeds in Berlin….
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  • In category: Smart Mobility
Use Case: Creating Deep Time Walk Routes with openrouteservice
Deep Time Walk offers facilitated walks of 4.6 kilometers, where each meter represents one million years of our Earth’s history. To empower their global network of facilitators, their new Route…
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Three hands holding markers drawing green rectangles on printed maps on a table
  • In category: Research
New Paper: “Object-Level Detection of Hand-Drawn Annotations in Participatory Sketch Maps Using Paired Clean and Annotated Basemaps”
A new paper presented at the AGILE 2026 conference investigates how hand-drawn annotations in participatory sketch maps can be automatically extracted and digitized. The authors formulate annotation extraction as an…
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New Paper “Detour-based metrics of alcohol availability along walking commutes”
  • In category: Research
New Paper: “Detour-based metrics of alcohol availability along walking commutes”
This study introduces detour-based indices for alcohol exposure along walking commutes. Survey data estimate detour budgets to assess path-based availability. Results show how different retail regimes affect exposure, informing effective…
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New Paper: Analysis of the spatial and temporal pattern of COVID-19 incidence rate across Germany
  • In category: Research
New Paper: “Analysis of the spatial and temporal pattern of COVID-19 incidence rate across Germany”
This study analyzes five socio-economic factors shaping COVID-19 incidence rates across the 400 German districts. A regression analysis using spatial eigenvector mapping indicates that socio-economic factors might influence incidence less…
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Rural landscape with sparse trees, huts, and dry soil under a cloudy sky
  • In category: Research
New Paper: “Food Insecurity Projections for Anticipatory Action: Comparative Spatiotemporal Analysis of FEWS NET and the IPC in Somalia”
Food insecurity projections are a central component of anticipatory action frameworks, particularly in drought contexts. Presented at the AGILE 2026 conference, this paper compares FEWS NET and IPC food insecurity…
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Text panel with the title 'Filling In The World Map With Street-Level Imagery and Deep Learning MapSwipe and Hug-a-Panorama' alongside two inset images showing a street scene with highlighted areas and a heatmap over a landscape.
  • In category: Geoinformation for Humanitarian Aid
Filling In The World Map With Street-Level Imagery and Deep Learning: MapSwipe and Hug-a-Panorama

HeiGIT has been working with deep learning models and street-level imagery for some time, with the goal to contribute to “filling in the world map” by gaining high-resolution information about…

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Road scene showing multiple vehicles in traffic on a multi-lane road with a yellow delivery van on the right and Heig-IT logo and text about Openrouteservice and emission models on the left.
  • In category: Smart Mobility
Use-case: Combining openrouteservice with emission model data to visualize emissions along a route
This article is based on a talk presented by Leonie Größchen from the Federal Agency for Cartography and Geodesy (BKG) at FOSSGIS 2026 in Göttingen….
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the image shows people walking in a park and a screenshot of the shaded.openrouteservice dashboard
  • In category: Smart Mobility
Introducing the technology behind heat-avoiding routing: How a Heidelberg research initiative became a nationally scalable open-source tool

The origin In 2021, HeiGIT, the GIScience Research Group, and TdLab Geography launched HEAL (Heat Adaptation for Vulnerable Population Groups) – a transdisciplinary research project funded by the Baden-Württemberg Stiftung…

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Aerial view of a flooded road with buildings and palm trees alongside text about dynamic routing for disaster response and integrating earth observation into humanitarian logistics systems
  • In category: Geoinformation for Humanitarian Aid
Dynamic Routing for Disaster Response: Integrating Earth Observation into Humanitarian Logistics Systems
As disasters grow more frequent and complex, the REER project aims at supporting the operational needs of humanitarian organizations. By combining Earth Observation outputs with data from the ground, the…
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Screenshot of a webpage titled 'One Year with the Climate Action Navigator' with the subtitle 'How Open Data is Powering Climate Action in Cities' showing a globe and a text box with information about the Climate Action Navigator.
  • In category: Climate Action
One Year with the Climate Action Navigator: How Open Data is Powering Climate Action in Cities
A year after its launch, the Climate Action Navigator has emerged as a growing open-data dashboard that helps cities, NGOs, and community initiatives target climate action through high-resolution assessment tools…
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Water surface with plants in the foreground and agricultural field
  • In category: Geoinformation for Humanitarian Aid, Research
New Paper “From Flood Risk to Caloric Loss: Compound Flood Impacts on Agriculture in Madagascar”
This study is based on Celina Thomé’s master thesis. It was presented at the ISCRAM 2026 conference, where it added to conversations about using data-driven methods to improve crisis management,…
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Aerial view of a parking lot with multiple parked cars and trees between parking rows with the text 'NEW PAPER Simulating Parking Choices Using Large Language Models: Experiments with GPT-4o Mini'
  • In category: Research
New paper “Simulating Parking Choices Using Large Language Models: Experiments with GPT-4o Mini”
A new Open Access paper published in the volume Geography According to Foundation Models by IOS Press explores how Large Language Models could help design stated-preference studies in urban mobility…
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Map showing color-coded socioeconomic groups and symbols for different housing types along a coastline
  • In category: Research
New paper “Hidden energy poverty and the energy performance gap: integrating building energy simulation, thermal comfort monitoring, and actual energy consumption”

Hidden Energy Poverty (hEP) represents an underestimated form of energy vulnerability in which households consume less energy than required to achieve adequate indoor thermal comfort conditions. This phenomenon is particularly…

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Map of Rwanda with colored squares showing OpenStreetMap data quality by district and a chart showing data quality development over time.
  • In category: Big Spatial Data Analytics
Introducing ohsome quality API country reports for OpenStreetMap data quality on the Humanitarian Data Exchange platform
The new ohsome quality API (OQAPI) country reports are a meta-dataset designed to provide an overview of whether OpenStreetMap (OSM) data quality for a country or region of interest is…
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