Course Code:
arcgisdesktop1
Duration:
7 hours
Course Outline:
Introduction:
- Data Quality Matters
- Get Started with ArcGIS* Data Reviewer for Desktop
- Welcome to Esri Training
- Course materials
- Course goals
- ArcGIS Data Reviewer in the platform
- Introduction: Data Quality Matters
- Learning objectives
- Think about…
- Without data quality standards
- With data quality standards
- Defining good data quality
- Elements of data quality
- Attribution
- Example: Spatial accuracy
- Example: Thematic accuracy
- Example: Completeness
- Example: Logical consistency
- Example: Temporal quality
- Example: Usability
- Sources of quality requirements
- Quality Control (QC)
- Quality Assurance (QA)
- What is a Quality Assurance Plan?
- Lesson review
Understanding ArcGIS Data Reviewer
- Understanding ArcGIS Data Reviewer
- Learning objectives
- Think about…
- ArcGIS Data Reviewer for Desktop
- ArcGIS Data Reviewer for Server QC life cycle
- ArcGIS Data Reviewer
- Components of ArcGIS Data Reviewer
- What is the Reviewer workspace?
- Defining the Reviewer workspace
- Defining Reviewer sessions
- Organizing Reviewer sessions
- Session properties
- Toolbars during a review
- Introducing the Reviewer
- Table Exercise introduction (30 minutes)
- Lesson review
The Reviewer Table
- The Reviewer Table Learning objectives
- Think about…
- The Reviewer Table Reviewer
- Table fields User-defined review fields
- Life cycle phase
- Reviewer geometry vs. feature geometry Symbolizing results
- Organizing the table Reviewer
- Table templates Importing/Exporting
- Instructor-led demo
- Exercise introduction (30 minutes)
- Lesson review
Automated Data Checks
- Automated Data Checks
- Learning objectives
- Think about…
- General QC workflow
- Before data validation begins
- Technical requirements
- Checks in ArcGIS
- Data Reviewer
- Data check categories
- Which check should be used?
- Industry: Water utilities
- Industry: Hydrography
- Industry: Facility management
- Industry: Land-use planning
- Topology and ArcGIS
- Data Reviewer
- Group activity
- Exercise 4A introduction (10 minutes)
- Learning objectives
- Automated data check authoring
- Configure the check
- Configure conditions specific to the check
- Configure the check
- Running a single data check
- Instructor-led demo
- Exercise 4B
- introduction (15 minutes)
- Lesson review
Batch Review
- Batch Review
- Learning objectives
- Think about…
- What are batch jobs?
- QC templates
- Process for designing a batch job
- Batch job groups
- Duplicate Check
- Generator Sharing batch jobs
- Using batch jobs
- Executing batch jobs
- Instructor-led demo
- Exercise
- introduction (30 minutes)
- Lesson review
Semi-automated Review
- Semi-automated
- Review Learning objectives
- What is semi-automated review?
- Think about…
- Visual review
- Random sampling
- Instructor-led demo
- Documenting data errors with ArcGIS Desktop
- Documenting data errors with ArcGIS Server
- Reviewer geometry
- Instructor-led demo
- Data inspection tools
- Positional accuracy assessment
- Exercise introduction (45 minutes)
- Lesson review
Correction, Verification, and Reporting Results
- Correction, Verification, and Reporting
- Results
- Learning objectives
- Think about…
- Updating the correction status
- Marking exceptions
- Updating the verification statu
- s Data Reviewer descriptions
- Data Reviewer reporting
- Reviewer Table statistics
- ArcGIS Data Reviewer for Server
- Exercise introduction (30 minutes)
- Lesson review
Course Conclusion
- Course Conclusion
- You learned about…
- Want to learn more?
- Course evaluation
- Thank you for attending
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*ArcGIS is a trademark, service mark, and registered mark of Esri in the United States, EU, and other international jurisdictions. Esri has not reviewed this training course for completeness, accuracy, or quality, and as such, does not endorse, sponsor, or affiliate with this training course.