Spatial Data Analysis

Summary of module for applicants:

This module aims for students to understand the concept and theory of spatial data analysis, and develop the skill and problem-solving ability by applying a range of spatial query, processing, visualisation and analysis techniques. Main platforms with be open source SpatiaLite and QGIS.

Main topics of study:

• Concepts of spatial data structure, reference and sources
• Spatial query
• Spatial operations and transformation
• Thematic mapping
• Spatial clustering analysis & hotspots
• Spatial network analysis
• Spatial dependence, correlation and regression
• Geodemographics
• Spatial decision support
• Location-based services

Learning Outcomes for the module

• Digital Proficiency - Code = (DP)
• Industry Connections - Code = (IC)
• Emotional Intelligence Development - Code = (EID)
• Social Intelligence Development - Code = (SID)
• Physical Intelligence Development - Code = (PID)
• Cultural Intelligence Development - Code = (CID)
• Community Connections - Code = (CC)
• UEL Give-Back - Code = (UGB)

At the end of this module, students will be able to:

Knowledge

1  Demonstrate a high level of understanding of key concepts in spatial data analysis

Thinking skills

2  Develop the problem-solving ability for spatial phenomenon (DP, PID)

3  Interpret in the context of domain and method the results of spatial analyses (EID)

4  Critically evaluate different approaches and solutions using knowledge learnt (IC)

Subject-based practical skills

5  Demonstrate a high level of understanding of and critically apply a selection of techniques for analysing spatial data (DP)

6. Competently use spatial SQL, GIS software and relevant spatial analysis techniques (DP)

7. Design a technical solution for spatial analysis applications (DP)

Skills for life and work (general skills)

8  Apply spatial reasoning skills for a range of data projects (EID, PID)

9. Critically evaluate spatial data and analysis results for decision making (IC, CID)