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Category Archive for 'OSM'

This blog post is the start of a series of posts, which describe what you are able to do using the ohsome framework developed at the Heidelberg Institute of Geoinformation Technology (HeiGIT). OpenStreetMap (OSM), the biggest open map of our world, offers not only the current state of the data, but the whole historical evolution [...]

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We are happy to hereby share latest information about the 5th HOT Summit- the annual gathering of the Humanitarian OpenStreetMap Team community- which after great events in Washington, Brussels, Ottawa and Dar es Salaam, will next year come to the picturesque city of Heidelberg, September 19th and 20th.
HOT Summit 2019 as well as the [...]

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Nowadays, several research projects show interest in employing volunteered geographic information (VGI) to improve their systems through using up-to-date and detailed data. The European project CAP4Access was one of the successful examples of such international-wide research projects that aimed to improve the accessibility of people with restricted mobility using crowdsourced data. In this project, OpenStreetMap [...]

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Conceptual compliance measures to what degree contributors of volunteered geographic information (VGI) are using proposed tagging-standards. Here, we look into OpenStreetMap (OSM) as the most well-known example for VGI. In OSM the most important tagging guideline is defined by its wiki. In addtion, OSM editors like iD or JOSM provide presets (default options to adhere to tagging standards).
This [...]

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Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for [...]

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Within the European FP7 project “CAP4Access“, we studied the usage of crowdsourced geographic information (and more specifically OpenStreetMap data) for improving accessibility in selected European regions. This 3 year research study led to several implementations and extensions of Open Source GI solutions with respect to OSM data quality assessment as well as wheelchair routing and [...]

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After the successful GeOnG conference 2018 in chambery we want to thank the organizers and all participants. We contributed in several ways, as already highlighed in our previous blogpost. Now, we also want to share our slides and workshop material with everyone interested.
Round table discussion:

Machine Learning, AI & satellite imagery: what impact on humanitarian mapping: [...]

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Last week the ‘Fachtagung Katastrophenvorsorge‘ took place in Berlin. The annual symposium, organized by the German Red Cross, brings various actors together involved in national and international disaster risk reduction. Our workshop, which we were running together with the Federal Office of Civil Protection and Disaster Assistance (BBK) and the German Aerospace Centre (DLR), focused [...]

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Our new ohsome dashboard is another preview on what is and will be possible with our ohsome OpenStreetMap history analytics platform. Behind the scenes, we added support for the Apache Ignite big data framework and deployed an instance using the full OSM history data of whole Germany on Heidelberg University’s cloud computing infrastructure heiCLOUD. Apache Ignite is an open-source [...]

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At the recent EuroGEOSS Workshop in Geneva, LandSense researchers from IIASA and Heidelberg University hosted an interactive mapping session to showcase the power of crowdsourcing for map validations as announced earlier.
Using the openly available Land Cover Validation Platform (LACO-Wiki), participants collaboratively validated a land use and land cover map of Geneva, which brings together data from [...]

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