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
 21 Hours

Number of participants



Price per participant

Testimonials (3)

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