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Course Outline

Introduction

Advanced Spatial Analysis Techniques

  • Review of intermediate spatial analysis tools in ArcGIS Pro.
  • Advanced geoprocessing workflows.
  • Spatial join and overlay analysis.
  • Case study: Land use suitability analysis.
  • Customizing spatial workflows with ModelBuilder.

Data Management and Advanced Editing

  • Advanced data management with geodatabases.
  • Editing and version control in multi-user environments.
  • Integrating data from various sources (e.g., CAD, remote sensing).
  • Advanced attribute rules and data validation.
  • Managing and editing complex datasets.

Python Scripting and Automation

  • Introduction to ArcPy for GIS automation.
  • Writing Python scripts for data manipulation and analysis.
  • Integrating Python scripts in ArcGIS Pro models.
  • Automating a multi-step geoprocessing workflow.
  • Debugging and troubleshooting Python scripts.

Geostatistical Analysis and Spatial Modeling

  • Overview of geostatistics and interpolation methods.
  • Kriging and cokriging techniques for spatial prediction.
  • Building and calibrating spatial models.
  • Real-world applications: Environmental impact analysis and predictive modeling.
  • Creating and analyzing predictive surfaces.

3D Analysis and Visualization

  • Advanced 3D analysis techniques in ArcGIS Pro.
  • Working with LiDAR data and 3D point clouds.
  • 3D terrain and surface analysis for infrastructure planning.
  • Integrating 3D data with traditional 2D analysis.
  • Comprehensive spatial analysis combining 2D and 3D data.

Summary and Next Steps

Requirements

  • Basic to intermediate proficiency in ArcGIS Pro.
  • Familiarity with geoprocessing tools and data management concepts.

Audience

  • GIS professionals.
  • Spatial analysts.
 35 Hours

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