GIS Project Practical


The main aims of this unit are: To provide an overall introduction on GIS applications To describe examples of the practical applications of GIS To explain how GIS theory is used in those GIS applications To demonstrate various types of GIS-based spatial analysis To provide practical training in GIS analysis with the use of a commercial GIS software


 Operating systems
 Basic knowledge of GIS theory
 Familiarity with basic operations of a GIS software
 Elementary Geography and Cartography

Learning Outcomes

On completion of this sub-unit students will be able to:   Identify and implement GIS applications Identify spatial data requirements for various GIS applications Construct a Geographical Information System Use GIS software packages / understand in real applications Integrate different spatial data in GIS context in order to complete complex real world applications Communicate knowledge – create professional GIS technical reports Use advanced GIS functionality for spatial analysis


Spatial data homogenization. GIS and advanced Spatial Analysis. Weighted cartographic overlay – map algebra. Surface representation – analysis. GIS and Geographical problem solving.  Dynamic (spatio-temporal) phenomena analysis. Spatial interpolation using GIS techniques. GIS-based applications and customization.

Content Delivery

The sequence of the educational procedure is as following:  Introduction to GIS applications – broad examples of cases where GIS can be applied (traditional lecture – slides) GIS-based application Tutorials (Software exercises – interaction with students) GIS Projects (Practical applications with the use of GIS software) Final evaluation

Coursework And Assignment Details

Students will be required to identify a potential topic where its solution requires the use of GIS, set up a GIS with the relevant data and use the system to generate an answer to their problem. At the end of the week the students will deliver a presentation on the methods used to deal with the problem (worth 25% of the grade) and also submit a report of up to 3000 words, describing in detail the data used, methods followed, obstacles encountered and evaluation of the result they produced (worth 75% of the grade).