Category: OSM
-
How to become ohsome part 3: Identifying different mapping schemes
This is your first blog of the ohsome series? Before you might be confronted with any potential spoilers, you should better check out the first and the second part of this blog series (or the intro to the idea and general architecture) to be on the safe side and up to date with the current content. So…
-
HeiGIT and German Red Cross representation at DLR Humanitarian Technology Days 2019
Last week, Michael Schultz (GIScience Research Group) attended the Humanitarian Technology Days 2019 that was organized by the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt, DLR) as a representative of the GIScience Research Group/ HeiGIT and of our collaboration with German Red Cross. For two days, around 80 scientists, humanitarian actors and funding…
-
The future of OpenMapSurfers tiles
OpenMapSurfer is the name of a web tile service based on OpenStreetMap data developed by Maxim Rylov and hosted by the Heidelberg Institute for Geoinformation Technology. The map style is a general purpose “basemap” layer featuring some unique properties, such as high cartographic quality label placement, see floor bathymetry, and a pleasant warm color scheme.…
-
How to become ohsome part 2: Comparing different regions based on their attributive completeness of OSM data
Welcome back to the second part of the blog series how to become ohsome. If you have not read the first part yet, better go and check it out now. It explains how you can create an ohsome visualization of the historical development of the OSM data from a city of your choice. This second part shows how to…
-
Spatial conceptual compliance analysis with the OpenStreetMap History Database (OSHDB)
In a previous blog post we performed a conceptual compliance analysis between OSM data and several tagging-guidelines using the OSHDB API. The results were visualized in a line chart, comparing the different compliance ratio over several months. The following analysis focuses on a spatial representation of the conceptual compliance. It is conducted for the “iD-editor”…
-
How to become ohsome part 1: Visualizing the historical evolution of OSM buildings of your city
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…
-
HOT Summit 2019 is coming to Heidelberg
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…
-
Recommendations for organising better mapping parties with the aim of improving OpenStreetMap and Wheelmap data completeness
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…
-
Conceptual compliance analysis with the OpenStreetMap History Database (OSHDB)
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).…
-
A grounding-based ontology of data quality measures
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…
-
GeOnG Conference 2018: Workshop Materials and Slides
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…