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

Geocomputation using free and open source software

Date: 08 July 2019 - 12 July 2019
Location: Wageningen University

This postgraduate course provides participants with the opportunity to develop key skills required for advanced spatial data processing. Throughout the training, participants will focus on developing independent learning skills which will be fundamental for a continuous learning process of advanced data processing. This is a progressing journey of development with the availability of more complex data and the ongoing technological revolution. Within the course many different, complementary and sometimes overlapping tools will be presented to provide an overview of the existing open source software available for spatial data processing. We will discuss their strengths, weaknesses and specificity for different data processing objectives (e.g., modelling, data filtering, query, GIS analyses, graphics or reporting) and data types. In particular, we will guide participants to practice the use of different types of software and tools with the objective to assist in gaining a steep learning curve, which is generally experienced while using the new approach of analysing data within a programming command line environment. Broadly, we focus our training on helping participants to develop independent learning skills to find online help, solutions and strategies to fix bugs and independently progress with complex data processing problems.

Course FrequencyNot yet determined. For now, one time only.
LevelParticipants should have basic computer skills and a strong desire to learn command line tools to process data. Prior experience in the use of Geographic Information Systems will be helpful.
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