Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and…
Welcome back to the ohsome region of the month format where you can learn and get inspiration about potential applications of the ohsome API. This time we looked at forest-related…
As a little Easter present, we published the first version of the ohsome-py Python package today. ohsome-py helps you extract and analyse OpenStreetMap history data using the ohsome API and…
Online knowledge projects such as OpenStreetMap (OSM) and Wikipedia have gained high importance, trust and even economic value. These projects and their content are maintained and enhanced by online communities…
The #ohsome quality analyst (short: OQT) has been online and accessible through its web-interface now for quite some weeks already (see the introductory blog post as a reference). The website…
Extreme natural events create catastrophic situations for cities and their populations. Due to climate change and anthropogenic activities, the number and intensity of these events has steadily increased at the…
HeiGIT wants to serve you better. Therefore we are conducting user feedback surveys regarding our various services. The Deadline has been extended to March 05rd! Take your chance! If you…
Welcome back to another #ohsome blog post written by our awesome student assistent Sarah! This time we will look at the completeness of railway network data of one specific city…
HeiGIT wants to serve you even better. Therefore we are conducting user feedback surveys regarding our various services. If you have ever used one of our OpenStreetMap based Online Services…
The Ohsome Quality analysT (short OQT) is the name of a new software implemented by HeiGIT that is based on the #ohsome framework. Its main purpose is to compute quality…
Welcome to part 2 of the #ohsome street network analysis. If you haven’t read the first part yet, you can do so following this link. As promised, this week we…
Here we go again: The first #ohsome blog post of 2021. This time, one of our new student assistants Sarah was dealing with street networks and their quality in order…
The Horizon 2020 LandSense project was concluded successful. Please find a selection of the produced publications and deliverables here. The project has enabled our group to pursue quality aspects of…
On 8th November 2020, the Anticipation Hub has been officially launched and we are happy to announce that the Heidelberg Institute for Geoinformation Technology (HeiGIT gGmbH) acts as as a…
What is the idea behind the Notebook? In the case of an emergency (e.g. floods, earthquakes, political crisis) it is important to know where the health facilities are located. Furthermore,…
India accounts for nearly 18% of the worlds population. The country is also one of the main carrier of the worlds disease burden. Despite the general increase in life expectancy…
“Local Knowledge” is constituting the exceptional value of Volunteered Geographical Information and thus also considered as an important indicator of data quality. We are interested in how much local information…
Erhalten Sie mit ohsomeHeX wertvolle Einblicke in die Qualität und den Entwicklungsprozess von OpenStreetMap-Daten! (see for english version here) Das HeiGIT Big Data Team freut sich zur Exploration der Veränderungen…
During the EuroSDR workshop we will present our OSMlanduse product (earlier post) to the land use (LU) and land cover community (LC) and highlight class accuracies and a benchmark comparison…
Get valuable insights into the quality and development process of OpenStreetMap data with ohsomeHeX! We are proud to announce a new release that provides a completely redesigned UI that makes…
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Background imagery created with data from OpenStreetMap contributors