Conformance | Data Quality Evaluation

Note: Percent values relate to AOI coverage (for Use-case adequacy) or to the data source's spatial extent (for General quality).

Data values / Spatial features completeness (%)

Attribute completeness (%)

Thematic selectivity

Spatial variability

Score completeness

Topological / Geometric consistency (%)

Domain consistency

Thematic consistency

Spatial consistency

Score consistency

Accuracy Type

Thematic classification accuracy

Attribute accuracy

Model performance

Data plausibility

Validation method

Validation data

Temporal stability

Thematic stability

Spatial stability

Uncertainty/sensitivity analyses

Sources of uncertainties

Input data (e.g., haziness/cloud cover, incompleteness)

Methodology (e.g., modelling error, bias)

Inconsistency (e.g., country-dependent schema)

Interpretability (e.g., missing legend, unclear attributes)

Other

Score accuracy

Clarity of method

Reputation of method

Transferability of method

Availability of code

Resources needed

Score reproducibility

Traceability

Input Data (name, link, quality)

Add each input dataset with its name, source link, and quality score.

Consistency of input data

Model input data fit

Score input data