Available with Data Reviewer license.
The Monotonicity check finds polyline features that contain monotonic errors in either elevation or measure values (z-values or m-values).
The purpose of the Monotonicity check is to identify features that contain z-values or m-values that are not strictly increasing or decreasing in value. Features that contain nonmonotonic values can impact the results of your analysis and models.
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.
When configured as a constraint rule, an error notification is returned upon creation or modification of a feature based on the specified conditions defined in the parameters of the rule.
When configured as a validation rule, an error is created during validation when a feature contains either a vertex that is nonmonotonic or meets other conditions specified in the rule. In m-value validations, vertices that don't contain measure values (NaN) will also be returned as errors.
- 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 routes 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 (2) line features with z-values and m-values that are not strictly increasing or decreasing in value:
ArcGIS Data Reviewer checks support multiple methods for implementing automated review of your data. The following table identifies the supported implementation methods for this check:
Reviewer batch job
Reviewer map rule
Attribute (validation) rule
The input feature layers evaluated by the rule.
Valid inputs for this rule type are polyline features that are z- or m-enabled. Click the Forward button to apply filtering to specific features in the feature layer.
Validation (map rules)
The subtype that the rule will be applied to if the dataset has subtypes.
Validation (attribute rules)
A query that identifies the features to which the rule will be applied.
Validation (attribute rules)
The property to be evaluated.
Select either z-values or m-values for evaluation.
Error conditions evaluated by the rule. Any feature whose values match those defined in the rule are returned as an error.
The editing events that trigger the rule to take effect.
A unique title or name for the rule.
This information is used to support data quality requirement traceability, automated reporting, and corrective workflows.
Descriptive text of the error condition when noncompliant features are found.
This information is used to provide guidance to facilitate corrective workflows.
Severity of the error created when noncompliant features are found.
This value indicates the importance of the Reviewer 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-enabled or m-enabled to be used in this check.
- Differences in z-values or m-values between adjacent vertices that are within the z-tolerance or m-toleranc are not compared when evaluated for monotonicity.
- 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-values 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.
- When this check is authored as an attribute (validation) rule and multiple error conditions are detected on a feature (for example, non-monotonic and increasing), a single error feature is created. When this check is authored as a maps-based or contained in a Reviewer batch job, an error result is created for each condition.
- When this check is authored as an attribute (validation) rule, the Attribute and Features to Compare Filter parameters are limited to comparison (=, <>, >, <, >=, <=) and logical (AND/OR, IN/NOT IN, LIKE/NOT LIKE, IS NULL) operators.
- When this check is authored as a map-based rule, care should be taken when configuring filter parameters using database-specific SQL functions that differ from those supported in your production environment.