Category: Research
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Recap of HeiGIT @ FOSS4G 2019
First of all, thanks to everybody who attended our ohsome lab on OpenStreetMap History Analysis at last weeks FOSS4G in Bucharest. Even though there were eleven (!) tracks running in parallel, and our lab was not in the same location as the program track, we had some interested participants. Their affiliation ranged from public institutions…
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HeiGIT presents ohsome Lab at FOSS4G 2019 Bucharest
This week, the annual conference FOSS4G (Free and Open Source Software for Geospatial) is taking place in Bucharest, Romania. The conference is organized by The Open Source Geospatial Foundation (OSGeo) and attracts over 1000 professionals from industry and academia each year. The HeiGIT Big Spatial Data Team will present the ohsome platform and related tools such as the…
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Place in GIScience Paper at Platial 2019
The International Symposium on Platial Information Science PLATIAL’19 will be held this year at the University of Warwick in September 5-6. The programme has just been published and includes a paper from our research group about a systematic literature review about Place in the GIScience Community. As the first PLATIAL’2018 symposium held in Heidelberg 2018…
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Interested in time-dependent routing?
We are delighted to invite you to join a workshop on open-source routing with time-dependent restrictions, see http://giscienceblog.uni-hd.de/2019/04/17/project-tardur-starts-open-source-routing-with-time-dependent-restrictions/. The workshop is taking place on Friday before the State of the Map conference, 20th September 2019 in Heidelberg. It is free of charge and will last from 9:00 to 16:00 with a lunch break in between.…
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High-frequency and high-resolution monitoring of rock glacier dynamics
How do the dynamics of surface change on a rock glacier look like over an entire summer season? And how is rockfall activity and storage and talus supply from the headwall of a rock glacier related to patterns of its movement? These and other questions are currently investigated within the AHK-4D and Geomorph4D projects of…
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Green spaces in cities promote well-being and mental health — ‘Nature’ Neuroscience study published with participation of GIScience researchers at Heidelberg University
INTERDISCIPLINARY NATURE STUDY SHOWS THAT INNER TOWN GREEN DIRECTLY INFLUENCES ON CITY RESIDENTS Inner city green areas such as lawns, flowerbeds, trees or parks can directly improve the well-being of city dwellers. These are the findings of a recent study conducted by scientists from GIScience Research Group at Heidelberg University and the Heidelberg Institute for…
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Feasibility of Using Grammars to Infer Indoor Room Semantics
Current indoor mapping approaches can detect accurate geometric information but are incapable of detecting the room type or dismiss this issue. A recently published paper investigates the feasibility of inferring the room type by using grammars based on geometric maps. Specifically, we take the research buildings at universities as examples and create a constrained attribute…
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GRÜNFLÄCHEN IN STÄDTEN FÖRDERN WOHLBEFINDEN; ‘Nature’ Neuroscience Studie mit Beteiligung der Geoinformatik der Universität Heidelberg veröffentlicht:
INTERDISZIPLINÄRE STUDIE ZEIGT, DASS INNERSTÄDTISCHES GRÜN UNMITTELBAR EINFLUSS AUF STADTBEWOHNER HAT Innerstädtische Grünflächen wie Rasen, Blumenbeete, Bäume oder Parks können unmittelbar das Wohlbefinden im Alltag von Stadtbewohnern verbessern. Das zeigt eine aktuelle Studie, die Wissenschaftler des Zentralinstituts für Seelische Gesundheit (ZI) in Mannheim gemeinsam mit Geoinformatikern der Universität Heidelberg und Forschern des Mental mHealth Lab…
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HeiGIT beim Tag der offenen Tür beim Auswärtigen Amt
Am 16. und 17. August öffnet das Auswärtige Amt in Berlin die Tore für die Öffentlichkeit. An diesen Tagen kann nicht nur das Auswärtige Amt selbst besichtigt werden, verschiedene Diplomaten, Vertreter verschiedener Ministerien, Einrichtungen und Organisationen werden vor Ort sein, um aktuelle Projekte und Ideen vorzustellen. In diesem Rahmen wird es auch einen „Humanitären Raum“…
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Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning
Our new paper on Machine Learning and Humanitarian Mapping Nowadays, Machine Learning and Deep Learning approaches are steadily gaining popularity within the humanitarian (mapping) community. New tools such as the ML Enabler or the rapId editor might change the way crowdsourced data is produced in the future. Hence, at the Heidelberg Institute for Geoinformation Technology…
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Successfull PhD defence by Michael Auer on 3D WebGIS
Last month Dr. Michael Auer successfully defended his PhD on Advancing 3D WebGIS – browser-based Methods for Visualization and Analysis and their Integration in Virtual Research Environments in the Context of Cultural Heritage . We congratulate cordially! We are happy to have Michael with us as in the Big Spatial Data Analytics team of HeiGIT…
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New ORS Jupyter example about Fleet Scheduling for Disaster Response with ORS and VROOM
Routing optimization in a humanitarian context Routing optimization generally solves the Vehicle Routing Problem (a simple example being the more widely known Traveling Salesman Problem). A more complex example would be the distribution of goods by a fleet of multiple vehicles to dozens of locations, where each vehicle has certain time windows in which it can operate…