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, analyse, 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
MYR3,078.00 (includes tax)
Location
Shah Alam
Duration
3 days
Level
Intermediate
Category
ArcGIS Pro Workflows
Are there any prerequisites?
- Completion of ArcGIS Pro: Essential Workflows or Migrating ArcMap to ArcGIS Pro or equivalent knowledge is required.
What skills will I learn?
After completing this course, you will be able to:
- Quantify spatial patterns using statistics and analyse 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 analysis.
- Examine features and distribution patterns within an area of interest and identify optimal locations using 2D and 3D analysis tools.
What can I expect?
- Course topics
Building a foundation for spatial analysis
- What is spatial analysis?
- Benefits of spatial analysis
- Common analysis problems
- Spatial analysis problems
- Spatial analysis tools
- Spatial analysis workflow
- Applying spatial analysis
Planning and preparing for spatial analysis
- Data properties
- Raster data considerations
- Environment settings
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
Overlay analysis
- 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
Suitability modelling
- What is suitability modelling?
- Suitability modelling workflow
- Evaluating analysis criteria
- Choosing vector or raster overlay
- Deriving surfaces from other sources
- Raster functions and geoprocessing tools
- Level of measurement
- Transforming values to a common scale
- Types of raster overlay
- The raster calculator
- Locating and analysing results
- Exploring data sources
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
Space-time analysis
- Incorporating time into your analysis
- Temporal analysis
- Temporal analysis
- Space-time analysis
- Emerging hot spot analysis
- Space-time analysis workflows
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
- Enriching data for analysis
Geographically weighted regression
- How relationships change over space
- GWR characteristics
- When to use GWR
- GWR in action
Geostatistical interpolation
- Deterministic interpolation
- Geostatistical interpolation
- Kriging
- Geostatistical workflow
- Empirical Bayesian kriging (EBK)
3D analysis
- When to use 3D analysis
- 3D analysis examples
- Interactive 3D analysis