Tag: Big Spatial Data
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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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Ohsome Nepal Dashboard supports admin boundary selection
The Ohsome Nepal Dashboard has new features to enhance its usability and functionality. The user can now easily select administrative areas of interest through a new map interface. Different administrative levels can be selected by zooming in and out and afterwards just clicking or tapping on that specific region. This convenience feature makes it much faster…
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Ohsome – a high level architectural overview of the OSM History Analytics platform
Recently we introduced the ohsome platform for OSM History Analytics. Now we want to give you a high-level overview of the ohsome platform and the components it consists of. Ohsome API The ohsome platform is based on a three-layers API architecture, where the flexibility, as well as the usage-complexity are increasing going from the top to…
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The Ohsome API: dynamic OSM statistics for real-world applications
The Ohsome API, developed at HeiGIT, is part of the ohsome OSM history analytics platform (and yes, it is pronounced like the word “awesome” 😉. It serves as the connection between the OpenStreetMap History Database (OSHDB) and possible frontends, such as the Ohsome Nepal Dashboard prototype. The communication with the Ohsome API works via HTTP GET and POST requests as…
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Upcoming Ohsome Conferences
The Ohsome OSM history analytics platform, developed at HeiGIT, will be presented at the following conferences: ISCRAM in Rochester, NY, USA (20th – 23rd of May) In the short paper for the International Conference for Information Systems for Crisis Response and Management we illustrate the specific potential of the ohsome platform for disaster activations by means of two…
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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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Preview of the ohsome Nepal dashboard
The ohsome OpenStreetMap history analytics platform, which is currently developed at HeiGIT, will make OSM’s full-history data more easily accessible. We are pleased to announce that we are coming closer to reaching our objectives, hereby sharing a preview of the first ohsome web dashboard. Our dashboards will allow you to explore OSM full-history data using…
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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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Introducing the ohsome OSM History Analytics Platform
The big spatial data analytics team at HeiGIT is currently developing the ohsome OpenStreetMap history analytics platform. Our aim is to make OSM’s full-history data more easily accessible for various kinds of data analytics tasks on a global scale. OpenStreetMap (OSM) is a freely available map of the world to which everyone may contribute geographic…
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Keynote at ‘Fachaustausch Geoinformation’ Heidelberg / Meet GIScience Heidelberg and HeiGIT
The regional GI Conference “Fachaustausch Geoinformatik” of the GeoNet.MRN is taking place on this Thursday Nov 23rd at the Print Media Academy Heidelberg. Prof. Alexander Zipf is giving one keynote about analysis and usage potential of free and open geodata. He will present some of the related work of the GIScience Research Group Heidelberg and…
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Alexander von Humboldt PostDoc Fellowship for A. Yair Grinberger for Big Spatial Data Research in Heidelberg
Asher Yair Grinberger (Jerusalem) has been awarded a prestigious Alexander von Humboldt PostDoc Fellowship. He will join the GIScience Research Group Heidelberg later this summer to work for two years on developing theory & methods related to Big Spatial Data. We are looking forward working with him in Heidelberg. But you have the chance to…
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GIScience at FOSSGIS conference
Last week, the German FOSSGIS conference about Free and Open Source GIS software was held in Passau. GIScience was also there with a small delegation, presenting some of our current research topics, from routing, to data analysis and machine learning. The talks (in German language) are already available on youtube, for example: Routenplanung durch Flächen…