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
- Basic knowledge of spatial analysis and cartography
- Understanding of database management and basic programming concepts
Audience
- Geographers
- Environmental scientists
Testimonials (3)
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
I really enjoyed the training. I found all modules to be applicable to problems that I am trying to solve at work. The integration of the training with jupyter notebooks was really impressive.
Mark Firmin - Environment and Climate Change Canada
Course - Python for Geographic Information System (GIS)
The thing I liked the most about the training was the organization and the location