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 The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

ecosystem service Earth & Environmental Sciences

time series Earth & Environmental Sciences

modeling Earth & Environmental Sciences

Sensors Engineering & Materials Science

Semantics Engineering & Materials Science

Earth (planet) Engineering & Materials Science

Processing Engineering & Materials Science

smallholder Earth & Environmental Sciences

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

Luis Filipe Calisto

Department of Geo-information Processing - ICT Developer
Faculty of Geo-Information Science and Earth Observation - ICT Developer

Person: Academic, Administrative

Research Output 1978 2019

Analyzing the social impacts of scooters with geo-spatial methods

Voinov, A., Morales, J. & Hogenkamp, H., 7 May 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

1 Citation (Scopus)

4 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. 243-268

Research output: Contribution to journal › Article › Academic › peer-review

Open Access

File

workflow

Bayesian networks

learning

expert knowledge

Learning algorithms

Cyber Literacy for GIScience: Toward Formalizing Geospatial Computing Education

Shook, E., Bowlick, F. J., Kemp, K. K., Ahlqvist, O., Carbajeles-dale, P., Dibiase, D., Kim, E., Lathrop, S., Ricker, B. A., Rickles, P., Rush, J., Swift, J. N. & Wang, S., 2 Jan 2019, In : The professional geographer. 71, 2, p. 221-238 18 p.

Research output: Contribution to journal › Article › Academic › peer-review

literacy

education

innovation

learning

citizen

Activities 2018 2019

2 Oral presentation
1 Invited talk

Qualifier

A.Z. Bayih (Speaker)

26 Feb 2019

Activity: Talk or presentation › Invited talk

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