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Spatial Modelling of Biological Ecosystem Properties (ITC)(SC)

Degree type
Language of education
English (100%)
3 weeks
Tuition fee EU/EEA
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Tuition fee Non EU/EEA
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Education type
Start of program
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Application deadline
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Type of institution
Research University

Program description

Learn more about mapping biological properties and processes, species distribution, biodiversity modelling, spatial auto-correlation, multi-collinearity and model calibration.

Accurate spatial information about biological ecosystem properties is a requirement for developing policy and managing natural resources. Information about green biomass, species, assemblages and diversity serves a wide range of purposes in environmental management. Remote sensing may enable direct mapping of such biological properties. Frequently however indirect approaches are used, where environmental conditions are used to predict the distribution of the biological variable of interest.

This course aims to strengthen skills in developing models to predict the distribution of biological variables for purposes such as biological or environmental conservation, biodiversity assessment, and the determination of species richness and species distribution.

About the University of Twente

The University of Twente focuses on the development of technology and its impact on people and society. It offers bachelor, master and postgraduate programs in the field of Technology, Behavioral and Social Sciences. University of Twente students are always encouraged to look beyond the boundaries of their own field and establish links with other disciplines.

High tech, human touch. This is what characterizes the University of Twente. Some 3,300 scientists and other professionals working together on cutting-edge research, innovations with real-world relevance and inspiring education for more than 9,000 students. The enterprising university encourages students to develop an entrepreneurial spirit and is a partner of Knowledge Park Twente.

More information about the University of Twente

Admission requirements

Previous education

BSc in a relevant field of study. Problem structuring, spatial data analysis tools and techniques, simulation and modelling.

Professional experience

Knowledge of GIS, disciplinary knowledge of problem domain, spatial data analysis (tools and techniques) and basic statistics.

Language requirements

IELTS overall band: 6.0, TOEFL computer based: 213, TOEFL internet based: 80, TOEFL paper based: 550, CAE: C1, CPE: C2


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