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Tag Archive 'intrinsic quality analysis'

A new month - a new post of the how to become #ohsome blog series. Welcome to part 7, in which we will show you 7 different ways how you can send a request to the ohsome API using different tools and programming languages. In case this is your first blog of how to become [...]

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As you may already know from the latest blog posts, new advancements are brought with the release 1.0 of the #ohsome API. One minor function involves the correctness of parameters that you can use in your queries, which was developed by our intern Rosario in the last weeks.

The new feature
Let’s say you send a request [...]

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After more than a decade of rapid development of volunteered geographic information (VGI), VGI has already become one of the most important research topics in the GIScience community. Almost in the meantime, we have witnessed the ever-fast growth of geospatial deep learning technologies to develop smart GIServices and to address remote sensing tasks, for instance, [...]

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ohsome API 1.0 is here

As we’ve announced it in a previous post, the Open Source release 1.0 of the ohsome API has finally arrived. As a reminder, or for those of you that hear “ohsome” for the first time, the aim of the ohsome OpenStreetMap History Data Analytics Platform is to make OpenStreetMap’s full-history data more easily accessible for various kinds [...]

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Big news from the ohsome team: the release 1.0 of one of our major services, the ohsome API for ohsome OpenStreetMap History Analytics, is on the doorstep. We are bringing three major advancements along with this version. The first one is a completely new documentation of the API giving several examples to different endpoints. The [...]

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Around 55 participants gathered in Malta for the 3rd International Workshop on Spatial Data Quality 2020 from 28th to 29th of January. Among national mapping agencies, software providers and standardization organizations, HeiGIT had the opportunity to present its ohsome - OSM history analytics platform for analyzing spatial data quality by looking at the temporal development [...]

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Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin.
IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from Volunteered [...]

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This week, the annual conference FOSS4G (Free and Open Source Software for Geospatial) is taking place in Bucharest, Romania. The conference is organized by The Open Source Geospatial Foundation (OSGeo) and attracts over 1000 professionals from industry and academia each year. The HeiGIT Big Spatial Data Team will present the ohsome platform and related tools such as the [...]

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Besides dealing with a snake, making quality assessments, or generating comparable statistics, one needs to know how to handle the whole functionality provided by the ohsome API to really become ohsome. And to achieve exactly that, this blog presents the last missing entry point to the API from the current toolkit, namely the /users resource. With its help you can receive aggregated [...]

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Earlier we published several blogposts introducing the ohsome platform and its parts (e.g. the ohsome API for example, which was often showcased here in the blog) and its backbone the OSHDB (very recently version 0.5 was published). A recent open access journal article gives even more background to the system, as shown below:

Raifer, M, Troilo, [...]

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