Tag: Big Data
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OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data
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,…
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OpenStreetMap History Database – version 0.5
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 more…
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OpenStreetMap history explorer – ohsomeHeX published
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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A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and land-cover monitoring
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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A brief intro to the OpenStreetMap History Database (OSHDB) API
The OpenStreetMap History Database (OSHDB) is the main data backend developed at HeiGIT for the ohsome OSM history analytics platform, that will make OSM’s history data more accessible for further analysis. OpenStreetMap (OSM) is a rich resource of freely available geographic information. However, the possibilities for analyzing OSM data on a global scale are limited because of…
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GIScience contribution to Big Data Research Winter School with Indian IITs in Heidelberg
Currently Heidelberg University is establishing a PhD Research Training Group (RTG) on “Big Data Research“ together with several Indian Universities and Indian Institutes of Technology (IIT) in the context of the HGS MathComp at the IWR (Interdisciplinary Center for Scientific Computing). Partners from India include Allhabad University, Delhi University (MoU pending), Jawaharlal Nehru University, IIT…
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GIScience group members at the ISPRS Geospatial Week 2017 in Wuhan, China
Last week (Sept. 18-22, 2017), our six colleagues, Prof. Alexander Zipf, Doctoral Candidate Xuke Hu, Dr. Hongchao Fan, Dr. Martin Hämmerle, Dr. Zhiyong Wang, and Dr. Wei Huang, participated in the ISPRS Geospatial Week 2017 held in Wuhan, China. In the opening ceremony on Sept. 18, 2017, the U.V. Helava Award was presented to Dr.…
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HeiGIT is starting to move into Mathematikon
recently the first few members of the Navigation Intelligence and Location Based Services group of the Heidelberg Institute for Geoinformation Technology (HeiGIT) – which is currently being established based on core funding from the Klaus-Tschira Foundation Heidelberg – moved into their new offices at Mathematikon Heidelberg. The group works on services like OpenRouteService and related…