|Teaching method||Contact hours|
|Course coordinator(s)||dr. ir. RJA van Lammeren|
|Lecturer(s)||dr. ir. RJA van Lammeren|
|ir. AR Bergsma|
|Examiner(s)||dr. ir. RJA van Lammeren|
Language of instruction:
Assumed knowledge on:
GRS-10306 Introduction Geo-information Science, GRS10806 Geo-Information Science in Planning & Design
GRS-20306 Remote Sensing; GRS-20806 Geo-information Tools; GRS-30306 Spatial Modelling and Statistics
This course broadens the knowledge and skills offered by the courses GRS-10306 and GRS-10806 into two main avenues: geo-visualization and networks. We did select these avenues because webservices and apps strongly rely on interfaces that forward different types of visualisation and of navigation. Most of the times these interfaces are based on, and linked to geodata ensembles and open geodata processing sources. The course extrapolates the basic concepts of cartography into geo-visualization which is defined as a loosely bounded domain that integrates different forms of geo-data visualization ranging from landscape visualization into info-graphics. New concepts like 3-dimensional visualization, geo-data animation and story-telling will be introduced. The network data model will be introduced and the different ways to analyse network data. Network data are of great importance as spatial reference but also to study and discuss spatial patterns of perception, movement and behaviour. The course shows options to publish geo-information with geo web-services by web sites, apps and social media. In relation to these two avenues open source data and tools will be given attention. In research practice these open source options are of equal importance as commercial and authorized software tools and data sets.
After successful completion of this course students are expected to be able to:
- recall the variety of geo-visualisations in relation to societal and research interest;
- practice geo-visualisation options;
- transform visualisation results into web enabled information;
- understand the network data model;
- apply different types of network analysis;
- exemplify 'open source' tools to collect, acquire, process and visualize geodata;
- understand the concepts of Apps and Geo-Webservices.
The course is strongly based on the blended learning concept. Besides there are (guest)lectures and feedback sessions. The concepts of network data, geo-visualization, network construction and analysis are practiced by different assignments making use of proprietary and open software tools.
- individual Logbook of the course assignments (20%);
- individual final assignment (30%);
- individual essay (30%);
- individual closed book examination with open questions (20%).
Reader with a number of reviewed articles;
Chang, K., 2012 (see GRS-10306).
|Restricted Optional for:||WUDSC||BSc Minor Data Science||1AF|
|WUGIS||BSc Minor Geo-information for Environment and Society||1AF, 4WD|