Tag: OSM
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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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Enrichment of OpenStreetMap Data Completeness with Sidewalk Geometries for Wheelchair Routing
Tailored routing and navigation services utilized by wheelchair users (such as provided by OpenRouteService.org ) require certain information about sidewalk geometries and their attributes to execute efficiently. Except some minor regions/cities, such detailed information is often not sufficiently present in current versions of crowdsourced mapping databases including OpenStreetMap. In a recent study (1) we aim…
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Abteilung Geoinformatik: Studentische Hilfskräfte GIS gesucht (auch Praktika)
Die Abteilung Geoinformatik sucht Studentische Hilfskräfte zur Unterstützung in mehreren hoch aktuellen Forschungsbereichen in einem interdisziplinären dynamischen Team, u.a. z.B. für: Big Spatial Data Analytics z.B. OpenStreetMap History Analysen, Social Media Analytics etc. z.B. http://ohsome.org Landnutzungsklassifikation auf Basis von OpenStreetMap, Satellitenbildern, etc. z.B. http://OSMlanduse.org Disaster-Management für humanitäre Hilfe (Geoinformatik für Katastrophenmanagement) z.B. MapSwipe Analytics etc. Intelligente…
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Openrouteservice-py now available on PyPi – Easy Routing, Geocoding, Isochrones and Matrix Routing with Python!
We have finally developed a pretty handy python API for all of you pythoniasts out there. This library makes requests to the openrouteservice API extremely simple. With this you will be able to query the following services with a couple of lines of python code. directions matrix geocoding isochrones To provide a quick and dirty…
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ECSA Webinar on #citizenscience for monitoring urban landscape dynamics with GIScience Heidelberg
Join the next ECSA webinar on “Citizen Science for monitoring urban landscape dynamics”! The European Citizen Science Association (ECSA) will host a webinar on the topic of “Citizen Science for monitoring urban landscape dynamics”. The webinar will include two talks: Assessing urban green space in Vienna (by Gebhard Banko and Barbara Birli from the Austrian Environmental…
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ORS NEWS: more frequent updates, new GPX response, snapping tolerance
Updating the ORS routing graph… frequently! We’re very happy to announce two more important core features for our services: Weekly OSM planet.pbf update! md5 checksum included in response! How old is the OpenStreetMap planet file which was used to build the openrouteservice road network? This is a question many of you have asked over the past. To…
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OSMlanduse.org + Remote Sensing = New conterminous land use data set for Germany released – filling gaps in OSM through machine learning
Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org. When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using…
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New OpenRouteService Matrix API to speed up batch routing calculations
Admittedly, the OpenRouteService Matrix API is anything but new. Already implemented in mid 2017, it’s been soaring to high demand by numerous clients across the globe ever since. Finally we want to give it the credit it deserves. The ORS Matrix API is the precursor to solve important problems like the traveling salesman problem and even more…
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New Real-time OSM service provides custom up-to-date Extracts of OpenStreetMap Data
Disaster events damage human infrastructure and its surroundings within seconds. To support humanitarian logistics, the Disaster OpenRouteService needs the latest, most accurate data available. While crowd-sourcing OSM updates during disasters proved very successful, there is not yet a convenient way of automatically accessing up-to-date OSM data for specific regions of interest. Addressing this need, HeiGIT…
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Deep Learning with Satellite Images and Volunteered Geographic Information
Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the…
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OSM Climate Protection Map went Global
Over the last weeks the recently introduced Climate Protection Map (Klimschutzkarte.de) has been extended to cover the whole world and features now also some new layers. The Global Climate Protection Map is based on user-contributed data from OpenStreetMap. It allows interested citizens to share information and find out about topics related to climate protection and sustainability,…