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Spatial Analysis with ArcGIS Pro

Strictly by pre-registration only

What is this course about?

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.

Course details

Price

IDR15,484,500.00

Location

Jakarta

Duration

3 days

Level

Advanced

Category

Visualisation, Editing and Analysis Course

Software

Esri will provide the following software to use during class:

  • ArcGIS Pro (Advanced)
  • ArcGIS 3D Analyst
  • ArcGIS Geostatistical Analyst
  • ArcGIS Spatial Analyst
  • ArcGIS Online

Are there any prerequisites?

What skills will I learn?

  • 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.
  • 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.

What can I expect?

  • 1. Building a foundation for spatial analysis
    • What is spatial analysis?
    • Benefits of spatial analysis
    • Common analysis problems
    • spatial analysis types
    • Spatial analysis workflows
    • Applying spatial analysis
  • 2. Planning and preparing for spatial analysis
    • Data properties
    • Raster data considerations
    • Environment settings
    • Exercise 2: Prepare data for analysis
  • 3. Proximity analysis
    • 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
    • Exercise 3: Analyze proximity
  • 4. Overlay analysis
    • Introducing overlay
    • How overlay works
    • Overlay tools
    • Choosing the appropriate tool
    • Exercise 4: Perform overlay analysis
  • 5. Automating spatial analysis
    • Automating workflows
    • Automation methods in ArcGIS Pro
    • Batch geoprocessing
    • Exercise 5A: Build a model
    • Automating and sharing models
    • Exercise 5B: Use a model to process multiple inputs
  • 6. Creating surfaces using interpolation
    • Tobler's First Law of Geography
    • What is interpolation?
    • Types of Interpolation
    • Interpolation methods
    • Interpolation tools
    • Deterministic interpolation
    • Exercise 6: Interpolate surfaces
  • 7. Suitability modeling
    • 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
    • Transforming values to a common scale
    • Types of raster overlay
    • Explore data sources
    • Exercise 7A: Raster overlay tools
    • Raster overlay tools
    • Locating and analyzing results
    • Exercise 7B: Perform suitability modeling
  • 8. Spatial statistics
    • Spatial patterns
    • What are spatial statistics?
    • Types of spatial statistics
    • Interpreting inferential statistics
    • Descriptive versus inferential
    • Spatial statistics tools
    • Clusters and outliers
    • Clustering tools
    • Exercise 8A: Use spatial statistics to explore data
    • Exercise 8B: Perform clustering and outlier analysis
  • 9. Space-time analysis
    • Incorporating time into your analysis
    • Temporal analysis
    • Exercise 9A: Explore data
    • Space-time analysis
    • Emerging hot spot analysis
    • Space-time analysis workflow
    • Exercise 9B: Explore space-time pattern mining tools
  • 10. Regression analysis
    • Explaining spatial patterns
    • Causes of spatial patterns
    • What is regression?
    • Regression equation
    • OLS regression
    • Checkpoint
    • Interpreting OLS diagnostics
    • Six OLS checks
    • OLS reports
    • Exploratory regression
    • Exercise 10: Find a properly specified regression model
    • Enrich data for analysis
  • 11. Geographically weighted regression
    • How relationships change over space
    • GWR characteristics
    • When to use GWR
    • GWR in action
    • Exercise 11: Perform GWR
  • 12. Geostatistical interpolation
    • Deterministic interpolation
    • Geostatistical interpolation
    • Kriging
    • Geostatistical workflow
    • Exercise 12: Use the Geostatistical Wizard to perform kriging
    • Empirical Bayesian Kriging (EBK)
  • 13. 3D analysis
    • When to use 3D analysis
    • 3D analysis examples
    • Voxel layers
    • Exercise13: Perform 3D analysis