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Tag Archive 'ohsome example'

Introduction
Exploring how OpenStreetMap data developed over time across different administrative untis might reveal interesting insights into the self organizing approach of the OSM communities and can potentially be used to derive intrinsic data quality indicators. It might even be possible to estimate the completeness of OSM for a specific key-value combination as done by Barrington-Leigh [...]

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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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Welcome back to a new episode of how to become ohsome. Yes, you’ve read the heading correctly. We are really talking about a snake in a notebook on another planet. If you are familiar with one of the most used programming languages in the GIS world, you might already know by now which snake is [...]

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Global analyses are ohsome

We, the Big Spatial Data Analytics Group at HeiGIT have ohsome news to share: From now on, you can send your requests to our global ohsome API instance. So far, we’ve had a public instance for Nepal and Germany, but now you can analyse OSM’s history globally.
Additionally to the API, we also have a global dashboard instance. You choose any country, [...]

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In the GIScience research group at Heidelberg University, a recent PhD research project by Clemens Jacobs has been looking into the data quality of citizen science observations of organisms. This research aims at using geographic context as an information source for estimating the plausibility of an observation, e.g., of a bird, which was reported to [...]

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The exploration of the history of OpenStreetMap data presents an important step to uncover semantic connections, regions of interest and their contiguity in time and space at varying scales. Therefore, the HeiGIT Big Spatial Data Analytics team presents a first beta version of the new OpenStreetMap History eXplorer (ohsomeHeX). It resembles the idea of the OSMatrix¹, [...]

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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 use [...]

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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 [...]

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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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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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