Geographical Information Systems, advanced
GISA22
This course is intended for you to take after GISA21.
Course contents
In this course, you will learn advanced GIS techniques and analyses. The course is a balanced mix of theoretical foundation and practical applications. It contains eight modules including:
- remote sensing
- digitalisation and image rectification
- map accuracy assessment
- interpolation
- databases (management, SQL, meta data)
- advanced GIS analysis
- topographical modelling and
- implementation of GIS in organisations
The course includes both a theoretical part and practical exercises for each module. The course provides basic as well as advanced methodologies for
- data capture (digitalization, remote sensing)
- data correction
- map accuracy assessment
- data processing and enhancement (interpolation)
Advanced analyses include fuzzy set theories and modelling as well as topographical modelling. Teaching consists of lectures and practical exercises that you will submit to the teachers.
Hardware requirements and operating systems
Since this is a distance programme, you need your own computer upon which to install the GIS software you will need. This computer must run a modern version of the Windows operating system, as is required for ArcGIS Pro. The specific technical requirements to run ArcGIS Pro can be found at the ESRI website:
Note: While it is possible to install Windows on an Apple computer (using Boot Camp on older machines with Intel processors or some virtualization approach on Apple silicon) we can provide NO support for this approach. That means that if you have technical issues we cannot help you, and you must provide your own licensed copy of an appropriate Windows OS as well as any other software needed to make this work.
Distance education
This course is given online - you do not need to travel to Lund in order to attend.
Course coordinator
Course facts: GISA22
Level: Basic
Credits: 15 ECTS
Period: Flexible, depending on study pace (50 % or 100 %).
Language of instruction: English
Prerequisites: General admission requirements, and a 15 ECTS introductory course to GIS, such as GISA21, NGEA31/NGEA11, or the equivalent.
For current students
Reading list (To be announced)
Canvas
Canvas learning platform