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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 skills in ArcGIS Pro
- Familiarity with geoprocessing tools and data management concepts
Audience
- GIS professionals
- Spatial analysts
35 Hours
Testimonials (1)
The thing I liked the most about the training was the organization and the location
