ArcGIS 3: Performing Analysis

ArcGIS 3: Performing Analysis Course Description

Duration: 2.00 days (16 hours)

Price: $1,070.00

This course teaches a standard workflow you can apply to any spatial analysis project. Working with a variety of ArcGIS tools and data, you will perform different types of analyses to efficiently create reliable results that support informed decision making. This course is taught using ArcGIS for Desktop Advanced and some course exercises use tools provided in the ArcGIS Spatial Analyst extension.

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Intended Audience for this ArcGIS 3: Performing Analysis Course

  • » GIS analysts, specialists, and others who manage or conduct GIS analysis projects.

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ArcGIS 3: Performing Analysis Course Objectives

  • » Choose appropriate data, methods, and tools to plan, execute, and document a given analysis project.
  • » Automate analysis tasks using geoprocessing models.
  • » Create a weighted suitability model to select the optimal location for a new site.
  • » Apply spatial statistics to examine distribution patterns and identify hot spots.
  • » Model temporal data to analyze and visualize change over time.
  • » Share analysis workflows and results so they are accessible and repeatable.

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ArcGIS 3: Performing Analysis Course Outline

      1. Getting started with spatial analysis
        1. Lesson introduction
        2. What is spatial analysis?
        3. Proximity analysis
        4. Overlay analysis
        5. Statistical analysis
        6. Temporal analysis
        7. The spatial analysis workflow
        8. Exercise 1: Apply the spatial analysis workflow to solve a problem
        9. Frame the question
        10. Explore the data
        11. Choose methods and tools
        12. Perform the analysis
        13. Examine the results
        14. Share the results in a report
        15. Lesson review
      2. Planning and preparing for analysis
        1. Lesson introduction
        2. Planning for analysis
        3. Analysis methods
        4. Raster data considerations
        5. Preparing points for raster analysis
        6. Data quality
        7. Standardizing spatial reference
        8. Working with geoprocessing environments and documentation
        9. Data preparation for raster analysis: Interpolation
        10. Exercise 2: Prepare data for a site selection analysis
        11. Explore the data
        12. Create the study area boundary
        13. Make environment settings
        14. Clip the roads to the study area
        15. Reduce extent of elevation raster to the study area
        16. Convert zoning polygons to raster
        17. Create a raster containing only agricultural zoning
        18. Enhance the map's appearance
        19. Lesson review
      3. Performing proximity analysis
        1. Lesson introduction
        2. What is proximity analysis?
        3. When to use proximity analysis
        4. Categories of proximity analysis
        5. How do ArcGIS tools measure proximity?
        6. Buffering at a world scale
        7. Data type and proximity analysis
        8. Exercise 3: Use proximity analysis for emergency planning
        9. Allocate resources to each school
        10. Determine straight-line distances between hospitals and schools
        11. Calculate flight times for air ambulances
        12. Identify traffic control areas
        13. Identify roads within each traffic control area
        14. Lesson review
      4. Performing overlay analysis with vector data
        1. Lesson introduction
        2. What is overlay analysis?
        3. Overlay techniques
        4. Performing overlay
        5. Apportioning attributes
        6. Overlay with Use Ratio Policy
        7. Exercise 4: Use overlay analysis to assess risk of tornado damage
        8. Explore the data
        9. Determine critical facilities in the tornado path
        10. Estimate road damage
        11. Create a new model
        12. Add an iterator
        13. Make a feature layer
        14. Overlay parcels with the tornado path
        15. Add a field to store property loss
        16. Calculate damage values
        17. Summarize total property damage
        18. Prepare the model to run as a tool
        19. Run the model and view results
        20. Share model as a geoprocessing package
        21. Test the geoprocessing package
        22. Lesson review
      5. Performing overlay analysis with raster data
        1. Lesson introduction
        2. What is raster overlay?
        3. Deriving surfaces from raster sources
        4. Deriving rasters from vector sources
        5. Locating a vineyard using raster overlay
        6. Binary overlay analysis
        7. Weighted overlay analysis
        8. Weighted overlay workflow
        9. A typical raster overlay question
        10. Reclassification
        11. Considerations for reclassification
        12. Assigning weights
        13. Exercise 5: Locate a vineyard using raster overlay
        14. Open the map and explore data
        15. Derive a slope surface from elevation
        16. Derive a distance from highways surface
        17. Examine raster cell values
        18. Manually reclassify the elevation raster
        19. Reclassify distance using remap file
        20. Reclassify slope using remap file
        21. Overlay rasters using Raster Calculator
        22. Modify weights and rerun Raster Calculator
        23. Use the Raster Calculator to combine cells ranked 4 and 5
        24. Lesson review
      6. Analyzing spatial patterns
        1. Lesson introduction
        2. What is a spatial pattern?
        3. Exploring descriptive statistics
        4. Mean center
        5. Standard deviational ellipses
        6. Working with data distributions
        7. The Average Nearest Neighbor tool
        8. The Spatial Autocorrelation tool
        9. Hot spot analysis
        10. Exploring patterns
        11. Exercise 6: Analyze 911 incident distribution using spatial statistics
        12. Explore the data
        13. Run the Average Nearest Neighbor tool
        14. Run the Spatial Autocorrelation tool
        15. Perform hot spot analysis to aggregate incidents and locate hot spots
        16. Perform hot spot analysis using a bounding polygon to set study area
        17. Perform hot spot analysis on response times for 911 incidents
        18. Lesson review
      7. Analyzing temporal patterns
        1. Lesson introduction
        2. What is temporal analysis?
        3. Working with time-aware data
        4. Temporal analysis of piracy incidents
        5. Temporal patterns and spatial statistics
        6. Measuring statistics over time
        7. Space-time analysis
        8. Grouping analysis
        9. Exercise 7A: Analyze temporal patterns in piracy data
        10. Visually analyze patterns in the data
        11. Use the time slider to analyze incidents by date
        12. Analyze temporal patterns
        13. Create time series animation
        14. Exercise 7B: Space-time cluster analysis
        15. Explore incident data
        16. Aggregate incident data
        17. Create a space-time window
        18. Perform space-time hot spot analysis
        19. Exercise 7C: Perform grouping analysis
        20. Visually analyze 911 data
        21. Run multivariate grouping analysis
        22. Run grouping analysis by weekday
      8. Lesson review
      9. Appendixes
      10. Appendix A: Esri data license agreement
      11. Appendix B: Answers to lesson review questions

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Skills Assessment

We ensure your success by asking all students to take a FREE Skill Assessment test. These short, instructor-written tests are an objective measure of your current skills that help us determine whether or not you will be able to meet your goals by attending this course at your current skill level. If we determine that you need additional preparation or training in order to gain the most value from this course, we will recommend cost-effective solutions that you can use to get ready for the course.

Our required skill-assessments ensure that:

  1. All students in the class are at a comparable skill level, so the class can run smoothly without beginners slowing down the class for everyone else.
  2. NetCom students enjoy one of the industry's highest success rates, and pass rates when a certification exam is involved.
  3. We stay committed to providing you real value. Again, your success is paramount; we will register you only if you have the skills to succeed.
This assessment is for your benefit and best taken without any preparation or reference materials, so your skills can be objectively measured.

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