Research Output per year
Organization profile
Profile Information
The department of Geo-information Processing (GIP) deals with the technological and methodological aspects of geo-information processing and infrastructure to solve complex application problems and to develop technology-oriented concepts for the new geo-information society.
Fingerprint Dive into the research topics where Department of Geo-information Processing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
ecosystem service
Earth & Environmental Sciences
modeling
Earth & Environmental Sciences
time series
Earth & Environmental Sciences
smallholder
Earth & Environmental Sciences
Earth (planet)
Engineering & Materials Science
Sensors
Engineering & Materials Science
Semantics
Engineering & Materials Science
Processing
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Ellen-Wien Augustijn
- Department of Geo-information Processing - Lecturer, Researcher
- Faculty of Geo-Information Science and Earth Observation - Researcher, Lecturer
- UT-I-ITC-STAMP - Researcher
Person: Academic
Amsale Zelalem Bayih
- Department of Geo-information Processing - Standard PhD Candidate, Foreign Scholarship PhD Candidate
- Faculty of Geo-Information Science and Earth Observation - Standard PhD Candidate
- UT-I-ITC-STAMP - Standard PhD Candidate
Person: Academic, PNUT
D.C. Chavarro-Rincon
- Department of Geo-information Processing - Lecturer
- Faculty of Geo-Information Science and Earth Observation - Lecturer
Person: Academic
Research Output 1978 2019
Analyzing the social impacts of scooters with geo-spatial methods
Voinov, A., Morales, J. & Hogenkamp, H., 15 Jul 2019, In : Journal of environmental management. 242, p. 529-538 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Highway accidents
social impact
Noise pollution
noise pollution
child care
A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment
Jing, C., Sun, T., Chen, Q., Du, M., Wang, M., Wang, S. & Wang, J., 1 May 2019, In : Sensors (Switserland). 19, 9, p. 1-16 16 p., 2143.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
1
Citation
(Scopus)
6
Downloads
(Pure)
Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models
Abdulkareem, S. A., Mustafa, Y. T., Augustijn, E. W. & Filatova, T., 26 Apr 2019, In : Geoinformatica. 23, 2, p. 243-268Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
workflow
Bayesian networks
learning
expert knowledge
Learning algorithms
Activities 2018 2019
Monitoring green capital of the UT campus
Louise (Wieteke) Willemen (Speaker), N. Schwarz (Speaker), E.G. Drakou (Speaker)11 Apr 2019
Activity: Talk or presentation › Oral presentation
Building a WebVR environment to bring historical shipping data alive
Luis Calisto (Speaker), Ieva Dobraja (Contributor), Yuhang Gu (Contributor), Andreas Weber (Contributor), Jelle van Lottum (Contributor), Marti Huetink (Contributor), Menno-Jan Kraak (Contributor)31 Aug 2018
Activity: Talk or presentation › Oral presentation
Press / Media
Vrijwilligers leveren betrouwbare fenologische waarnemingen voor klimaatonderzoek
Arnold J. H. Van Vliet, Hamed Mehdipoor, Raul Zurita-Milla & Ellen-Wien Augustijn
12/01/19
1 media contribution
Press/Media: Research
Evaluating the quality of volunteered data
Hamed Mehdipoor & Raul Zurita-Milla
16/11/15
1 media contribution
Press/Media: Expert Comment