Category: Allgemein
-
use case: openrouteservice for AI-Enhanced Building Data and Demographic Prediction
This research shows how spatial indicators from openrouteservice (ORS) can support building-level demographic predictions using machine learning. The study combines ORS APIs, building attributes, and POI data to estimate population and age characteristics in German cities, offering insights into the relationship between urban accessibility and demographic patterns. In today’s data-driven world, understanding cities at a…
-
First release of ohsome-planet: OSM history data in GeoParquet format
We’re excited to share the release of the ohsome-planet – a new software library on GitHub, marking a significant step toward the development of ohsome 2.0. This tool is designed to facilitate the transformation of raw OpenStreetMap (OSM) history data into the GeoParquet format, making it more accessible and efficient for spatial data analysis. What…
-
Call for participation: “Walking the X-min City: Methods and implementations to assess walkability and pedestrian accessibility” Workshop at the AGILE Conference
Join our collaborative workshop at the AGILE Conference in Dresden on June 10, where researchers, practitioners, and policymakers come together to explore methods in walkability and pedestrian accessibility assessment. Workshop scope The assessment of walkability and pedestrian accessibility through GIS methods has gained momentum, offering urban planners and policymakers new ways to assess and implement…
-
New Paper “An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro”
The COVID-19 pandemic highlighted the importance of understanding human behavior in cities to develop effective public health interventions. Crowd-sourced geospatial data available online can therefore serve as a valuable resource for analyzing such dynamics with Geospatial Artificial Intelligence (GeoAI). However, previous research often struggles with the complexity and heterogeneity of such data, and faces challenges…
-
Digitizing Maps with SketchMapTool v2.1: Enhanced Sketch Detection and Global Impact
The newly released Sketch Map Tool v2.1 features a higher accuracy in digitizing hand-sketched markings on Sketch Maps, thanks to a larger training dataset and an updated machine learning model for sketch detection. New user metrics show that thousands of Sketch Maps are created every month all over the world. The Sketch Map Tool The…
-
Unleashing the Power of GIS, Together: The IFRC Network GIS Training Platform
This article was originally published on the website of 510, the data and digital unit of The Netherlands Red Cross: Unleashing the Power of GIS, Together: The IFRC Network GIS Training Platform – 510 The Red Cross Red Crescent Movement has long channelled innovation to enhance humanitarian efforts. A shining example of this is the…
-
openrouteservice: key statistics and insights for 2024
HeiGIT has released the 2024 key statistics and numbers of openrouteservice. It demonstrates a significant increase in new users compared to the previous year. Specifically, there has been an increase of approximately 39% in new users since 2023, with a particularly notable rise in collaborative users. The number has increased by around 270%, compared to…
-
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…
-
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…
-
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…
-
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…
-
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…