[Geo4All] Explore the ohsome OSM History of whole Germany - preview new OSM analytics dashboard by HeiGIT

[Alexander Zipf]

Dear OSM Aficionados,

maybe of interest as a first preview on some developments around osm
history analytics...
http://giscienceblog.uni-hd.de/2018/10/10/explore-the-ohsome-osm-history-of-whole-germany/
 
The new ohsome dashboard https://ohsome.org/apps/dashboard/ by HeiGIT is
another preview on what is and will be possible with
our ohsome OpenStreetMap history analytics platform. Behind the scenes,
we added support for the Apache Ignite big data framework and deployed
an instance using the full OSM history data of whole Germany on
Heidelberg University’s cloud computing infrastructure heiCLOUD. Apache
Ignite is an open-source distributed database, caching and processing
platform designed to store and compute on large volumes of data across a
cluster of nodes. This enables larger and faster queries, e.g. the
processing of common requests like counting buildings of a larger city
at a monthly time resolution is typically performed in less than one
second and even only takes just a few seconds for a whole country.
The dashboard using Germany as example data is based on the Nepal
dashboard, but includes more functionality: It is more generic and
flexible as it allows custom filtering of all available OSM tags and
types, not only buildings or roads. The dashboard now includes
administrative boundaries from states down to city-level, which enable
one to make an easier selection of relevant search areas. Using the
dashboard, generating accurate statistics about the historical
development of OSM data for an arbitrary region it is now as easy as pie:

As you may know, the idea of the ohsome platform is to enable intrinsic
quality analytics and understand the development of OSM through time and
space for both, researchers, as well as the OSM community. We are
looking forward to hear your feedback and ideas for improvement. Please
feel free to contact us with your comments or to contribute to the open
source development.
https://github.com/GIScience/
Future work will focus on enlarging the supported region towards a
global scale, as well as adding further functionality.

Previous ohsome architecture blog posts: http://giscienceblog.uni-hd.de
    •    introduction of the ohsome data analysis platform
    •    high level architectural overview
    •    OSHDB: ohsome’s data processing backbone
    •    ohsome api: introduction
    •    Documentation of the ohsome API

Selected Literature:
    •    Auer, M.; Eckle, M.; Fendrich, S.; Griesbaum, L.; Kowatsch, F.;
Marx, S.; Raifer, M.; Schott, M.; Troilo, R.; Zipf, A. (2018): Towards
Using the Potential of OpenStreetMap History for Disaster Activation
Monitoring. ISCRAM 2018. Rochester. NY. US.

-
GIScience Research Group Heidelberg University
http://uni-heidelberg.de/gis
Heidelberg Institute for Geoinformation Technology (HeiGIT)
http://heigit.org
http://giscienceblog.uni-hd.de
https://github.com/GIScience/