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Duration 21 hours
Course Outline
Introduction
Review of GIS Fundamentals
- Overview of core GIS principles and spatial thinking
- Recap of essential GIS functionalities and toolsets
Advanced Spatial Analysis
- Multivariate analysis and spatial statistics
- Terrain modeling and analytical techniques
- Network analysis applied to transportation and logistics
GIS Data Management
- Sophisticated database management strategies
- Data quality assurance and adherence to metadata standards
- Integration of diverse and disparate data sources
Dynamic Mapping and Visualization
- Design principles for high-level cartography
- Construction of interactive maps and 3D visualizations
- Web-based mapping technologies and platforms
Programming for GIS
- Introduction to Python scripting for GIS automation
- Development of custom GIS tools and extensions
- Utilization of APIs for accessing geospatial data and services
GIS on the Web and Mobile
- Design and deployment of web-based GIS applications
- Mobile GIS solutions and location-based services
- Cloud computing applications in GIS
Emerging Technologies in GIS
- Remote sensing and drone-based technologies
- Big data and machine learning in spatial analysis
- Applications of augmented reality (AR) and virtual reality (VR)
Summary and Next Steps
Requirements
- Foundational understanding of spatial analysis and cartography
- Working knowledge of database management and core programming concepts
Target Audience
- Geographers
- Environmental scientists
Testimonials (1)
How to use open satellites data for real applications