Category: OSM
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New paper on OSM feature completeness modelling accepted for AGIT symposium
The availability of data on public transport is a prerequisite for numerous spatial data applications such as routing, accessibility analyses or route planning. OpenStreetMap (OSM) – as a global platform for Volunteered Geographic Information – is one of the options for sharing public transport data. The data completeness on OSM, however, is characterized by heterogeneity. Results…
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OSM Changeset Analysis with Humstats and the ohsome Framework
In this blog post we want to take a closer look at a fruitful mapping collaboration between humanitarian organizations and corporations. Since 2015 mapping remote areas in OSM is one part in the cooperation between the leading savings, retirement and insurance company, Aviva, and the British Red Cross (BRC). By combining multiple datasets we analyzed…
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OSM data quality analysis for different stages of the mapping process
Slums are an important operational area for humanitarian organisations: Because of provisional housing, poor sanitation and difficult socio-political circumstances offers of help from such organisations are important and often necessary. For such deployments, humanitarian actors rely heavily on Volunteered Geographic Information (VGI), as official maps and data are often incomplete. This makes it all the…
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Monitoring OSM and Tasking Manager to Map 1 Billion
In 2020, the Humanitarian OpenStreetMap Team (HOT) received funding from seven donors through TED’s Audacious Project. This has accelerated HOT’s ambition to map an area home to one billion people. HOT is working to add places at high risk of natural disaster or experiencing poverty to OpenStreetMap by significantly scaling-up support for local mapping communities.…
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GIScience and HeiGIT contributions to AGILE 2021 conference
The AGILE 2021 conference is taking place this week. It is the the 24rd AGILE conference on GIScience. AGILE is the Association of Geographic Information Laboratories in Europe and the 2021 conference is for the first time held as a virtual conference. As in earlier years GIScience Heidelberg and HeiGIT are contributing to the conference with several…
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Automatic building detection with ohsome2label and Tensorflow
Accurate and complete geographic data of human settlement is crucial for humanitarian aid and disaster response. OpenStreetMap (OSM) can serve as a valuable source, especially for global south countries where buildings are largely unmapped. In a previous blog, we introduced our recent work in detecting OpenStreetMap missing buildings, so this time we will show you…
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The ohsome quality analyst goes public on Github with new release 0.3.0
The ohsome quality analyst (short: OQT) has been introduced at the beginning of this year and today we are proud to announce two updates. First, we released the new version 0.3.0 which includes new OSM layers and a brand new data quality report. Working on this release has been the first collaboration with MapAction under…
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All countries of Central and South America now on Open Healthcare Access Map
After Sub-Saharan Africa and South and Southeast Asia we have now published all countries of Central and South America on the Open Healthcare Access Map. The web application is available here: https://apps.heigit.org/healthcare_access/. Please note that this is still a prototype and feedback on improvements and desired functionalities is very welcome. You can reach us at…
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ohsomeHeX provides access to OSM feature history
Did you ever wonder how your city was mapped over time, how geometries were changed and refined, how mistakes were added and corrected again? Then read on: ohsomeHex has a great new feature for you – the individual object’s zoom-in-history-view. To continue in providing valuable insights into the quality and development process of OpenStreetMap data, we…
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Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks
Recently, a new research paper “Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks” (Pisl, J., Li, H., Herfort, B., Lautenbach, S., Zipf, A. 2021) has been accepted at the the 24th AGILE conference 2021. The conference will take place virually on June 8 to 11, 2021. Accurate and complete geographic data of human…
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Deriving indicators for Points of Interest and analyzing mixed activities in urban areas
We are pleased that our research paper “Deriving indicators for Points of Interest and analyzing mixed activities in urban areas” (Ullah, Lautenbach, Zipf 2021) has been accepted at the 12th International Symposium on the Digital Earth (ISDE) scheduled within the GI Week 2021 in Salzburg. The conference will take place from July 5th to July…
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All countries of South and Southeast Asia now on Open Healthcare Access Map
It’s been a little longer than a month since we published the Open Healthcare Access Map. Last week we rolled out all countries of Sub-Saharan Africa. Today all countries of South and Southeast Asia follow. The web application is available here: https://apps.heigit.org/healthcare_access/. To get a clearer understanding of healthcare infrastructure data in OpenStreetMap, please consult…