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GIS Data ReViewer Key Features

GIS Data ReViewer is a data quality control management application that simplifies many aspects of automated and visual spatial data quality control tasks. Some of the key features within GIS Data ReViewer include

Track Error Status—The status of each error is tracked throughout the review process. GIS Data ReViewer manages the error tracking process by automatically storing the date and technician as the status of the error is changed. This ensures that the errors are accurately resolved.

Locate Errors in Data Capture/Attribution—Errors can be identified and added to the error table through a variety of tools available in GIS Data ReViewer. These tools include

  • Spatial analysis tools such as
    • Points on polygon features
    • Polygon on polygon features
    • Duplicate points
  • Minimum areas
  • Discrepancies in named features
  • Batch attribution checks
  • Topological checks

Log Error Information Easily and Accurately—GIS Data ReViewer records error information associated with each erroneous feature. Click a record in the error table, and the display zooms to the feature in question. GIS Data ReViewer's error table stores a variety of fields associated with the error that has been identified.

Store Data Error Information in One Database—Error information is stored digitally in an Access database. Errors can be stored in one or multiple error tables within the GIS Data ReViewer database. Multiple error tables can be consolidated into one table.

Coordinate the Data Review Effort—GIS Data ReViewer streamlines the data review effort by

  • Providing the ability to track the history of the error through submission, correction, and verification and easily passing on that information
  • Providing a common ground of tools
  • Standardizing batch attribution checks through the geodatabase checks and PLTS knowledge base

Perform Batch Attribute Validation of a Geodatabase—Using GIS Data ReViewer, data attributes can be validated against geodatabase uses and the PLTS knowledge base. The PLTS knowledge base is a database of additional rules to which the data must adhere.

  • Run on database or selected set of features.
  • Choose which set of checks to run and which feature classes to check.
  • Add additional rules through the PLTS knowledge base.
  • Identified errors are automatically written to the error table.

Generate Random Samples for Quality Control—GIS Data ReViewer provides a tool for generating a random sample of features to review. The random features are written to a sample table that the user can validate for correctness. The sample table serves as a record of what was reviewed. When an error is identified, it can be committed directly to the current error table, and the record is marked in the sample table.


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