Advanced Geographic Information Systems (GIS)

• Basic knowledge of spatial analysis and cartography
• Understanding of database management and basic programming concepts

Audience

• Geographers
• Environmental scientists

Geographic Information System (GIS) is a framework for gathering, managing, and analyzing data rooted in the science of geography.

This instructor-led, live training (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

By the end of this training, participants will be able to:

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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