Advanced GIS
Content
Syllabus
Introduction to Spatial Analysis (3 hours lecture)
- Common spatial analysis techniques
- Introduction to spatial analysis tools in QGIS/WebGIS
Advanced Spatial Analysis Techniques (3 hours lecture, 3 hours exercises)
- Spatial statistics and analyses
- Practical exercises in QGIS
GIS Toolboxes and Plugins (1 hour lecture, 3 hours exercises)
- Overview of GIS toolboxes and plugins
- Processing Toolbox in QGIS
- Practical exercises with GIS toolboxes and plugins
Building GIS Models I (3 hours exercises)
- Introduction to model building in GIS
- Model Designer in QGIS
- Creating basic models
Building GIS Models II (4 hours exercises)
- Advanced model building techniques
- Introduction to Python scripting for GIS
- Integrating scripts in models
- Practical model building exercises
Precision Farming with GIS (1 hour lecture, 1 hour exercises)
- Introduction to precision farming concepts
- Role of GIS in precision farming
Computing Management Zones (1 hour lecture, 2 hours exercises)
- Methods for computing management zones
- Practical exercises in computing management zones using FieldCalc/QGIS
Using Apps to Display and Analyze Sensor Data (3 hours lecture, 2 hour exercises)
- Collecting and integrating sensor data in GIS
- Case studies using apps for data display and analysis
- Practical exercises with SensLog Dashboard/FIE
Case Studies and Practical Applications (10 hours lab sessions)
- Detailed case studies in precision farming
- Project planning and implementation
- Real-world applications and success stories
- Student-led case study presentations
The homework will include: 20 hrs literature analysis, GIS terminology, and individual study.
Objectives and Competences
Course objectives:
- To advance students' knowledge in spatial analysis and GIS toolboxes.
- To provide skills in building GIS models for complex spatial problems.
- To explore real-world applications of GIS, with a focus on precision farming.
- To integrate digital tools and apps for data collection, display, and analysis in GIS projects.
Competences:
- Proficiency in advanced spatial analysis techniques.
- Ability to use and customize GIS toolboxes.
- Skills in building and implementing GIS models.
- Practical experience in applying GIS to precision farming and analyzing sensor data.
Intended Learning Outcomes
Students that will successfully attend the course will be able to:
- Conduct advanced spatial analysis using GIS.
- Utilize and customize various GIS toolboxes for specific tasks.
- Build and apply GIS models to solve spatial problems.
- Implement digital tools and apps in precision farming projects.
- Analyze and interpret sensor data for agricultural applications.