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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

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