ArcGIS Pro for Spatial Analysis Training in Madrid, Spain

ArcGIS Pro for Spatial Analysis training equips participants with the skills to perform advanced geospatial analysis using ArcGIS Pro. The course covers key spatial analysis techniques, including proximity analysis, overlay analysis, and raster-based modeling. Participants learn to work with geoprocessing tools, create spatial models, and visualize analysis results effectively. The training emphasizes real-world applications, such as site suitability analysis, hotspot identification, and predictive modeling. By the end of the course, attendees will be proficient in leveraging ArcGIS Pro for solving complex spatial problems and supporting data-driven decision-making.

Course Outline:

Introduction to ArcGIS Pro Spatial Analysis

• Getting Started with ArcGIS Pro for Spatial Analysis

• Overview of ArcGIS Pro interface and tools.

• Importing and managing spatial data in ArcGIS Pro.

• Working with geodatabases and data storage structures.

• Basic map creation and visualization techniques.

• Spatial Data Types and Working with Layers

• Introduction to vector and raster data types.

• Symbolizing vector and raster data for analysis.

• Working with attribute tables, selections, and queries.

• Introduction to coordinate systems and projections for analysis.

• Hands-On Exercises

• Basic Spatial Analysis Techniques

• Buffer analysis: Creating and analyzing buffers around features.

• Overlay analysis: Using spatial joins and intersection analysis.

• Proximity analysis: Analyzing proximity between features and distance calculations.

• Performing basic queries and selections on spatial data.

• Hands-On Exercises

Advanced Spatial Analysis with ArcGIS Pro

• Raster-based Spatial Analysis

• Working with raster datasets: Raster operations and analysis.

• Surface analysis: Creating slope, aspect, and hillshade maps.

• Raster reclassification, extraction, and zonal statistics.

• Performing suitability modeling with raster data.

• Hands-On Exercises

• Advanced Vector-based Spatial Analysis

• Overlay analysis: Union, intersect, and difference operations.

• Advanced proximity analysis: Using near and spatial join tools.

• Network analysis: Route analysis and least-cost path modeling.

• Spatial analysis with geometric networks and topological relationships.

• Hands-On Exercises

• Geospatial Data Visualization and Interpretation

• Visualizing analysis results with advanced symbology.

• Creating layout views for map publication.

• Using charts and graphs to display spatial analysis results.

• Best practices for presenting spatial analysis outcomes in reports and presentations.