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Tag Archive 'Big Spatial Data'

The OpenStreetMap History Database (OSHDB) is what powers most of the functionality of HeiGIT’s ohsome platform. The ohsome API for example, which was often showcased here in the blog, is built on top of the OSHDB. Just recently, an open access software article about the OSHDB was published. Check it out to find out [...]

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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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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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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 here [...]

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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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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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Members of the HeiGIT team were presenting parts of our work at this years AGIT/GI_Forum conference in Salzburg, Austria (as already announced in a previous blogpost).
Julian Bruns was presenting the results of a joint work with the KIT and his old employer, the FZI, which is published in the GI-Forum journal (English conference running in parallel to the AGIT), [...]

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The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large [...]

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