Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment
Agenda

Machine learning for spatial data

Date: 28 May 2018 - 01 June 2018
Location: Wageningen University

In this course, participants will learn how to model patterns and structures contained in data. The course will be focused on statistical and machine learning approaches, where the relationships between the observed data and the phenomenon under study are learned directly from observations.

The course will focus on aspects of:

  • data representations
  • feature extraction / reduction
  • clustering
  • semantic classification

Through a series of lectures and practical exercises (in Matlab), the participants will learn about different strategies and their pertinence for specific problems in environmental sciences. Most applications considered in the course will be remote sensing-based, but the course will remain general for a broader audience.

Course FrequencyTo be determined
Prior knowledgeBasic skills in statistics are a plus. The practicals will be in Matlab. A short introduction will be provided on the first day, but previous experience in Matlab or R or Python is required.
Intended credits1.5 ECTS
Course organisationThe C.T. de Wit Graduate School for Production Ecology and Resource Conservation (PE&RC)
More informationCourse website

Former occurrences of this course