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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

  • Fundamental understanding of spatial analysis and cartography.
  • Knowledge of database management and basic programming principles.

Target Audience

  • Geographers.
  • Environmental scientists.
 21 Hours

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