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Course Outline

Introduction

Advanced Spatial Analysis Techniques

  • Revisiting intermediate spatial analysis tools in ArcGIS Pro
  • Sophisticated geoprocessing workflows
  • Spatial join and overlay analysis methodologies
  • Case study: Evaluating land use suitability
  • Tailoring spatial workflows using ModelBuilder

Data Management and Advanced Editing

  • Sophisticated data management through geodatabases
  • Editing and version control in multi-user settings
  • Consolidating data from diverse sources (e.g., CAD, remote sensing)
  • Advanced attribute rules and data validation strategies
  • Overseeing and editing complex datasets

Python Scripting and Automation

  • Getting started with ArcPy for GIS automation
  • Developing Python scripts for data manipulation and analysis
  • Embedding Python scripts within ArcGIS Pro models
  • Automating multi-stage geoprocessing workflows
  • Identifying and resolving issues in Python scripts

Geostatistical Analysis and Spatial Modeling

  • Fundamentals of geostatistics and interpolation methods
  • Kriging and cokriging techniques for spatial forecasting
  • Constructing and calibrating spatial models
  • Practical uses: Environmental impact assessment and predictive modeling
  • Generation and analysis of predictive surfaces

3D Analysis and Visualization

  • Advanced 3D analytical methods in ArcGIS Pro
  • Handling LiDAR data and 3D point clouds
  • 3D terrain and surface analysis for infrastructure planning
  • Merging 3D data with conventional 2D analysis
  • Holistic spatial analysis combining 2D and 3D datasets

Summary and Next Steps

Requirements

  • Intermediate proficiency in ArcGIS Pro
  • Working knowledge of geoprocessing tools and data management principles

Target Audience

  • GIS specialists
  • Spatial analysts
 35 Hours

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