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Duration 21 hours
Course Outline
Introduction
Revisiting GIS Fundamentals
- Core principles of GIS and the concept of spatial thinking
- Refresher on essential GIS functionalities and tools
Advanced Spatial Analysis
- Exploration of multivariate analysis and spatial statistics
- Terrain modeling and analytical techniques
- Network analysis applied to transportation and logistics
GIS Data Management
- Techniques for advanced database administration
- Data quality control protocols and metadata standards
- Integration of diverse data sources
Dynamic Mapping and Visualization
- Design principles for sophisticated cartography
- Construction of interactive maps and 3D visualizations
- Application of web mapping technologies and platforms
Programming for GIS
- Python scripting fundamentals for GIS automation
- Creation of custom GIS tools and extensions
- Utilization of APIs for geospatial data and services
GIS on the Web and Mobile
- Development and deployment of web-based GIS applications
- Mobile GIS and location-based service integration
- Cloud computing applications within GIS
Emerging Technologies in GIS
- Remote sensing and drone technology integration
- Big data and machine learning applications in spatial analysis
- Augmented reality (AR) and virtual reality (VR) use cases
Summary and Future Directions
Requirements
- Fundamental understanding of spatial analysis and cartography
- Proficiency in database management and core programming principles
Target Audience
- Geographers
- Environmental Scientists
Testimonials (1)
How to use open satellites data for real applications
