Introduction to Geospatial Analysis

Course Description: 

The aim of the course is to develop basic understanding of spatially referenced data analysis and to explore the potential of Geographic Information Systems application in environmental and social studies. The course builds up on the practical skills in geospatial data mining and mapping obtained during the "Geospatial technologies for environmental professionals" course, but offers more detailed discussion and wider range of geospatial data visualization methods and introduces quantitative analysis of geospatial phenomena.

Besides, the course aims at providing both a theoretical understanding and a practical introduction to the use of remote sensing technologies for monitoring and analysis of environmental and societal problems. Students are exposed to the basic techniques and practical skills of extracting relevant information from digital imagery.

The course is conducted in cooperation with leading global GIS and RS agencies and companies (such as European Commission's Joint Research Center, Google, Esri, Hexagon) with potential theses research and internships with these organizations.

Pre-requisites are basic knowledge of computing and geospatial data visualization techniques.

Educational Approach: The course consists of computer class-based instructor presentations, supervised in-class exercises, individual consultations and a major individual term project. The course is based on "learn-by-doing" approach: basic approaches and principles presented by instructors during laboratory-based classes will be accompanied by students' extensive individual work.

The number of students is limited to 15

Learning Outcomes: 
  • Theory of spatial analysis and remote sensing
  • Awareness of GIS methods and its potential benefits
  • Practical skills in using GIS packages
  • Practical skills in retrieving and manipulating spatially referenced data
  • Ability to carry out independent GIS-based research
  • Critical assessment of GIS activities
  • GPS Theory and practice
Assessment: 

Grading policy: 20% in-class exercises and homeworks, 80% final project

The final project includes exploring some environmental or social problem by means of ArcGIS software and reporting the findings including: problem formulation, data collection and manipulation, results interpretation. The project can be a part of a thesis or another assignment.