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Course Outline
Introduction
Refresher on GIS Fundamentals
- Core GIS principles and spatial reasoning
- Recap of essential GIS features and tools
Advanced Spatial Analysis
- Multivariate analysis and spatial statistics
- Terrain modeling and assessment
- Network analysis for transportation and logistics
GIS Data Management
- Sophisticated database management strategies
- Data integrity checks and metadata standards
- Consolidating diverse data sources
Dynamic Mapping and Visualization
- Advanced cartographic design principles
- Building interactive maps and 3D visualizations
- Web mapping technologies and platforms
GIS Programming
- Python scripting for GIS automation
- Creating bespoke GIS tools and extensions
- Integrating geospatial data via APIs
Web and Mobile GIS
- Development and deployment of web-based GIS apps
- Mobile GIS and location-based services
- Cloud computing in GIS
Emerging GIS Technologies
- Remote sensing and drone technology
- Big data and machine learning in spatial analysis
- Applications of augmented reality (AR) and virtual reality (VR)
Summary and Next Steps
Requirements
- Familiarity with spatial analysis and cartography
- Understanding of database management and fundamental programming concepts
Target Audience
- Geographers
- Environmental scientists
21 Hours
Testimonials (1)
How to use open satellites data for real applications