|Teaching method||Contact hours|
|Course coordinator(s)||dr. NE Tsendbazar|
|ir. AR Bergsma|
|Lecturer(s)||ir. AR Bergsma|
|dr. NE Tsendbazar|
|prof. dr. D Tuia|
|Examiner(s)||prof. dr. D Tuia|
|dr. ir. RJA van Lammeren|
Language of instruction:
Assumed knowledge on:
GRS-10306 Introduction Geo-information Science.
GRS-30306 Spatial Modelling and Statistics;
GRS-51306 Geo-information Science for Society;
GRS-60312 Remote Sensing and GIS Integration.
This course is aimed at giving students knowledge and skills to implement GIS concepts within projects where geo-information plays an important role. The course content has a double-objective of providing students with the theoretical basis to run GIS-based projects (i), as well as the practical hands-in knowledge to implement a solution in a standard desktop GIS environment (ii). For GIS-based projects, repeatability and reproducibility are central concepts. These are followed closely in this course. Repeatability in this course corresponds to determine a formal method that leads to the production of project deliverables. Reproducibility in this course means implementing the formal proposed method according to standardized ways. In other words, students must manage data and implement methods according to data handling standards that allow others to reproduce the application completely.
So-called data-action models are used to develop the required automated processes, which can be useful for easy implementation of scenarios. The implementation of the reproducible methodology is performed in the Model-Builder environment of ArcGIS Pro.
The project results are presented as paper based and digital maps which are useful for communicating with project commissioners and/or generic public.
After successful completion of this course students are expected to be able to:
- design a repeatable application consisting of a series of components and processing steps for a project where geo-information plays an important role;
- translate project components and steps into a sequence of reproducible data-action-models with a high degree of automation;
- implement and run the proposed data-action models in ArcGIS Pro;
- appraise the degree of importance of datasets in relation to the project requirements
- the course content is based upon a case study. This case study is structured in three project levels: Application, Components and Steps;
- the students will implement these project levels during the course. At the end of the course, all levels are filled in to construct a reproducible and repeatable application;
- students follow lectures, study online course materials and work on a proposed project case. The hands-on work is done in student pairs.
The final mark for this course contains of two parts:
- project assignment (60%). Students are given a case study that requests a number of spatial datasets as project end products. The application to produce these products is the main results of this examination part. Special attention is given to how the data and models are translated into this application following the objectives of the learning outcomes. The spatial end products must be shown in a map;
- written open book exam (40%).
At the end of the course all online course material and software is accessible for use during the exam.
Students need to have a minimum grade of 5.5 for both theory and practical parts of the course. The course guide gives details on the assessment procedure.
All materials are made available via Brightspace
|Restricted Optional for:||BSW||Soil, Water, Atmosphere||BSc||2AF, 5AF|
|MBE||Biosystems Engineering||MSc||2AF, 5AF|
|MGI||Geo-Information Science||MSc||2AF, 5AF|
|MUE||Urban Environmental Management||MSc||2AF|
|Compulsory for:||WUGIS||BSc Minor Geo-information for Environment and Society||2AF, 5AF|
|Restricted Optional for:||WULEA||BSc Minor Living Earth||5AF|