Available with Data Reviewer license.
The Monotonicity check finds polyline features that contain monotonic errors in either elevation or measure values (z- or m-values). It optionally returns feature geometry when values are trending based on specified conditions.
The purpose of the Monotonicity check is to identify features that contain z- or m-values that are not strictly increasing or decreasing in value. Features that contain non-monotonic values can impact the results of your analysis and models.
Point error geometries will be returned for each feature vertex that is non-monotonic. In m-value validations, vertices that do not contain measure values (NaN) will also be returned as errors.
Features can also be evaluated to determine whether they are trending in a specific manner. Features that contain node values that do not trend as expected can impact the results of your analysis.
- In water resource management, elevation values stored in streamline features are used to add detail to digital elevation models (hydro DEM conditioning) to enforce known drainage patterns.
- In roadway management, roadway route features that have two or more consecutive vertices with the same measure may adversely affect length calculations, for example, United States Department of Transportation mileage reports.
Non-monotonic—The following image illustrates two line features with z- and m-values that are not strictly increasing or decreasing in value:
The input feature layers evaluated by the rule.
Valid inputs for this rule type are polyline features that are z- or m-enabled. To apply the rule on specific features in a feature layer, click Query Parameters to construct a SQL query.
The property to be evaluated.
Select either z-values or m-values for evaluation.
Error conditions evaluated by the rule are as follows:
Title of the Reviewer result created when a non-compliant feature is found.
This information is used to support data quality requirement traceability, automated reporting, and corrective workflows.
Descriptive text of the Reviewer result created when non-compliant features are found.
This information is used to provide guidance to facilitate corrective workflows.
Severity of the Reviewer result created when non-compliant features are found.
This value indicates the importance of the result relative to other results. Values range from 1 to 5, with 1 being the highest priority and 5 being the lowest.
Tag property of the Reviewer rule.
This information is used in rule authoring and management workflows to support traceability and reporting of data quality requirements.
- Polyline features must be either z- or m-enabled to be used in this check.
- Polyline features must have a defined vertical coordinate system to be used in this check for evaluating z-values.
- A feature’s From node and To node values are used to determine whether z- or m-values should be strictly increasing or decreasing when evaluated for monotonicity.
- Vertices that are within x,y tolerance are not compared when evaluated for monotonicity.
- Multipart features are evaluated in part order (Part 0, Part 1, and so forth) when evaluated for monotonicity.