Learn essential concepts and a standard workflow you can apply to any spatial analysis project. You will work with a variety of ArcGIS tools to explore, analyze, and produce reliable information from data. Course exercises use an advanced license of ArcGIS Pro and ArcGIS 3D Analyst, ArcGIS Spatial Analyst, and ArcGIS Geostatistical Analyst.
Who Should Attend
GIS analysts, specialists, and others who manage or conduct spatial analysis projects
After completion of this course you will be able to:
• Quantify spatial patterns using spatial statistics and analyze change over time to identify emerging hot spots.
• Use interpolation and regression analysis to explain why patterns occur and predict how patterns will change.
• Prepare data and choose appropriate tools and settings for an analysis.
• Examine features and distribution patterns within an area of interest and identify optimal locations using 2D and 3D analysis tools.
Completion of ArcGIS Pro: Essential Workflows or Migrating from ArcMap to ArcGIS Pro or equivalent knowledge.
Building a foundation for spatial analysis
• What is spatial analysis?
• Benefits of spatial analysis
• Common analysis problems
• Spatial analysis tools
• Spatial analysis workflow
• Applying spatial
Planning and preparing for spatial analysis
• Data properties Raster data considerations
• Environment settings
• Using proximity in everyday life
• Choosing the best distance measure
• Ways to measure distance
• Outputs of proximity analysis
• Buffering using different distance measures
• Measuring cost
• Introducing overlay
• How overlay works
• Overlay tools
• Choosing the appropriate tool
Automating spatial analysis
• Automating workflows
• Automation methods in ArcGIS Pro
• Batch geoprocessing
• Automating and sharing models
Creating surfaces using interpolation
• Tobler’s First Law of Geography
• What is interpolation?
• Interpolation methods
• Interpolation tools
• Deterministic interpolation
• What is suitability modeling?
• Suitability modeling workflow
• Evaluating analysis criteria
• Choosing vector or raster overlay
• Deriving surfaces from other sources
• Raster functions and geoprocessing tools
• Levels of measurement