Module aims
- To introduce the concepts and utility of geographically referenced data and geographic datamining for knowledge discovery in data.
- To explore and critique data analytics techniques and algorithms for mining data with a geographical component.
Module learning outcomes
Having successfully completed this module, the student will be able to:
- Disciss fundamental geographic concepts and principles underlying geograhpic data for GIS.
- Demonstrate awareness and critical understanding of challenges in mining geographically-referenced data in spatial
- database system.
- Apply appropriate (geographic) visualisation tools to the data for analysis.
- Select and apply appropriate exploratory spatial data analysis, data preparation techniques and modelling algorithms to a practical case study.
- Independently research applications, trends and developments in Geographical Data Mining.
Indicative module assessment
Literature reviews and analysis covering a range of topics or applications relevant to the module (40%).
Practical projects and exercises that focus on GIS data, visualisation, data exploration and pre-processing techniques (60%).