Advanced ArcGIS Pro for Spatial Analysis

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

Audience

• GIS professionals
• Spatial analysts

ArcGIS Pro is a powerful, professional-level desktop Geographic Information System (GIS) software developed byEsri (Environmental Systems Research Institute). ArcGIS Pro is widely used for a range of spatial data tasks, including data visualization, spatial analysis, and map production.

This instructor-led, live training (online or onsite) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.

By the end of this training, participants will be able to:

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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