This tool searches through a point file to identify data anomalies that could indicate data quality issues. A new layer will be created which contains the results of the analysis.

A "1" indicates that the anomaly exists. It is possible for a site to have multiple anomalies identified.

• Anomaly_1: Missing coordinate.
• Anomaly_2: Coordinate is truncated.
• Anomaly_3: The point has an identical coordinate as another point in the file.
• Anomaly_4: The point has an identical name as another point in the file.
• Anomaly_5: The point is outside of the expected administrative unit, but is within two kilometers of the expected unit's border.
• Anomaly_6: The point is outside of the expected administrative unit, and is greater than two kilometers of the expected unit's border.