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Tag Archive 'Crowdsourcing'

19th-22nd of May, the 16th Information Systems for Crisis Response and Management (ISCRAM) conference is taking place in Valencia.
Likewise to previous years, the GIScience Research Group/HeiGIT are taking part and supporting with several contributions.
Martin Hilljegerdes will present a paper, based on his Master Thesis, focusing on “Evaluating the effects of consecutive hurricane hits on evacuation [...]

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The 11th Information Communications Technology for Development (ICT4D) Conference brings together hundreds of public, private and civil society organizations, eager to share practical insights on applying digital technology to development, humanitarian, and conservation challenges. Participants share how they are using innovations in information and communications technology to increase impact in addressing humanitarian and development challenges. [...]

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GSIS Special Issue: Crowdsourcing for Urban Geoinformatics.
Geo-Spatial Information Science (GSIS), Volume 23, Issue 3. Taylor & Francis.
Guest Editors:
Hongchao Fan, Rene Westerholt, João Porto de Albuquerque, Bernd Resch and Alexander Zipf
TOC:

Do people communicate about their whereabouts? Investigating the relation between user-generated text messages and Foursquare check-in places

Ming Li, Rene Westerholt & Alexander Zipf

Pages: 159-172

Abstract|Full Text|References|PDF (2905 KB)

Description and [...]

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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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We cordially invite everybody interested to our next open GIScience colloquium talk
The speaker is Dr. Benjamin Bechtel
from the Institute of Geography / Center for Earth System Research and Sustainability,
Universität Hamburg www.clisap.de cen.uni-hamburg.de
When: Thursday 08.03.2018, 14ct
Where: INF 348, room015 (Institute of Geography, Heidelberg University)
Abstract:
New observations of urban climates – remote sensing and [...]

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Crowdsourcing has been widely applied to extract information from 2D geodata sources such as satellite imagery. In this new study published in the ISPRS Journal of Photogrammetry and Remote Sensing we apply this technique to the growing field of 3D point cloud analysis. This work has been conducted in our 3D-MAPP Project which was funded [...]

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Recently the full Special Issue “Online Participation” of the German journal “HMD Praxis der Wirtschaftsinformatik” has been published online by Springer.
It also includes our invited overview article about online participation in the context of geographic information, especially OpenStreetMap (in German). It is available open access:
Griesbaum, L., Eckle, M., Herfort, B., Raifer, M., Zipf, A. (2017): [...]

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We are currently guest-editing a special issue on “urban geoinformatics” in the Taylor & Francis journal “Geo-Spatial Information Science”. On this occasion, we’d like to encourage you to submit your crowdsourcing-related work emphasizing urban issues:
Title: Crowdsourcing for Urban Geoinformatics
Deadline: 30 October 2017
Guest editors:
Hongchao Fan, Wuhan University, (hongchao.fan@whu.edu.cn)
João Porto de Albuquerque, University of Warwick, (J.Porto@warwick.ac.uk)
René Westerholt, [...]

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This year the capital of Canada will become the gathering place for the Humanitarian OpenStreetMap Team (HOT) and Missing Maps community and partners.
September 12th/13th the Missing Maps members will come together for their annual meeting to discuss current projects, challenges, ideas and future plans. The next two days, September 14th/15th, the HOT Summit will provide [...]

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In the aftermath of a disaster, knowing the condition of buildings, infrastructure, and utilities is critical to both immediate response and long-term recovery efforts. The Humanitarian OpenStreetMap Team (HOT) is often asked to help identify damage to buildings and other assets in the affected region. In the past, limitations in post-disaster [...]

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