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Training Course:

QA/QC for GIS Data

School/Trainer:

ESRI Training and Education
Chicago, Charlotte, Danvers, Honolulu, Houston, New York, San Antonio, Sacramento, Tampa, United States

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' Understanding quality and error: Definitions of QA and QC; GIS data participants; GIS data completeness, consistency, accuracy, and resolution; Sources of error in GIS data; Role of QA in GIS; Exploratory versus confirmatory error discovery; Finding errors visually in ArcMap.
Creating a QA plan: QA plan concepts and sections; Management section; Design section; Data Assessment section; Reporting and Oversight section; Workflow for creating a QA plan; Testing with a pilot project; Writing a QA plan acceptance workflow.
Establishing data acceptance criteria and sampling strategies: Defining acceptance criteria; Properties of acceptance criteria; Acceptance workflow; Acceptance testing categories and requirements; Data sampling strategies and methods; Sample sizes and tracking; Counting and calculating errors; Installing and using tools in the QAQC Sampling Tools toolbox.
Designing a QC workflow: Defining participants and roles, QC tasks, and QC reporting; Single and multiple group workflows; Workflow design tips; QC reviews; Diagramming a QC workflow; QC checklists; QC reporting; Designing a QC workflow for multiple groups.
Recording and tracking errors: Reasons for tracking errors; Staff roles and responsibilities; Stages of error recording and tracking; Steps of recording, correcting, and verifying errors; Methods of recording errors; Recording and tracking errors with ArcGIS Desktop tools; Recording and tracking errors with PLTS GIS Data ReViewer.
Initial QC checks: Batch validation; Checking schema (names, fields, and coordinate systems); Checking attributes (missing or bad values); Checking geometry (bad geometry, slivers, small features, feature counts); Checking broken validation rules; Initial QC checks with ArcGIS Desktop tools; Initial QC checks with PLTS GIS Data ReViewer; Creating and running PLTS GIS Data ReViewer batch checks.
Validating geometry using topology: Topology basics; Topology checks for points, lines, and polygons; PLTS Data ReViewer geometry checks; Finding and recording topology errors with ArcGIS Desktop tools; Finding and recording topology errors with PLTS GIS Data ReViewer.
Visual review techniques: Performing visual QC; Setting symbols and labels; Labeling techniques for points, lines, and polygons; Tools and methods for visual review; Tracking and recording progress; Creating and using checkplots; Visual QC tools in PLTS GIS Data ReViewer; Visual error inspection with ArcGIS Desktop tools; Visual error inspection with PLTS GIS Data ReViewer.
Writing a QC report and completing the QA plan: QC reporting workflow; Categorizing errors; Calculating error rates; Preparing a QC report; Acceptance criteria; Rejecting data; Setting up a problem and resolution (PAR) system; Revising the QA plan.
...''

Elements of this syllabus are subject to change.

Please go to the school's official website for training price and schedule:
http://training.esri.com/

Phone:888-377-4575

School Address:

380 New York Street
Redlands, CA 92373-8100



Jobs & Resumes: Chicago, Charlotte, Danvers, Honolulu, Houston, New York, San Antonio, Sacramento, Tampa
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Search other schools for QA/QC for GIS Data training resources.




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Programming ArcObjects Using the Java Platform
Programming ArcObjects Using the Microsoft.NET Framework
Multiuser Geodatabase
Managing Editing Workflows in a Multiuser Geodatabase
ArcGIS Network Analyst
ArcGIS Schematics
ArcGIS Spatial Analyst
ArcGIS Spatial Analyst for Geospatial Intelligence
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Cartographic Representations
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