Basic diagnostic rules for data cubes

Returns basic diagnostic rules used by diagnose_cube(). Each rule defines how a specific data quality metric is computed and evaluated.

Usage

basic_cube_rules()

Value

A list of diagnostic rule definitions.

Details

Rules are implemented as lists containing:

• id – name of the diagnostic metric

• dimension – cube dimension being evaluated (e.g. temporal)

• thresholds – reference values used to determine severity

• compute() – function that calculates the metric

• severity() – function assigning a severity level

• message() – function generating a human-readable message

Contains the following rules:

• rule_temporal_min_years(): Number of years

• rule_temporal_missing_years(): Missing years

• rule_spatial_min_cells(): Number of grid cells

• rule_spatial_max_uncertainty(): Number of records where coordinate uncertainty is larger than grid resolution

• rule_spatial_miss_uncertainty: Number of records with missing coordinate uncertainty

• rule_taxon_min_taxa(): Number of taxa

• rule_obs_min_records(): Number of records (rows)

• rule_obs_min_total(): Total number of observations (sum)

Default thresholds are used.