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Course Outline
Introduction
Review of GIS Fundamentals
- Overview of GIS principles and spatial thinking.
- Recap of basic GIS functionalities and tools.
Advanced Spatial Analysis
- Multivariate analysis and spatial statistics.
- Terrain modeling and analysis.
- Network analysis for transportation and logistics.
GIS Data Management
- Advanced database management techniques.
- Data quality control and metadata standards.
- Integrating disparate data sources.
Dynamic Mapping and Visualization
- Design principles for advanced cartography.
- Creating interactive maps and 3D visualizations.
- Web mapping technologies and platforms.
Programming for GIS
- Introduction to Python scripting for automation in GIS.
- Developing custom GIS tools and extensions.
- Utilizing APIs for geospatial data and services.
GIS on the Web and Mobile
- Designing and deploying web-based GIS applications.
- Mobile GIS and location-based services.
- Cloud computing in GIS.
Emerging Technologies in GIS
- Remote sensing and drone technology.
- Big data and machine learning in spatial analysis.
- Augmented reality (AR) and virtual reality (VR) applications.
Summary and Next Steps
Requirements
- Foundational knowledge of spatial analysis and cartography.
- Understanding of database management and basic programming concepts.
Audience
- Geographers
- Environmental scientists
21 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.