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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
Target 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.
