Spatial Aggregation
- CURIE:
gmeow:SpatialAggregation - IRI: https://blackcatinformatics.ca/gmeow/SpatialAggregation
- Category: class
- Defined by:
gmeow:slices/aggregation - Box roles: TBox role (What is this?)
A measurement that aggregates entities located within a spatial region, yielding a scalar result such as a count, density, or average. The aggregation region is the observedFeature; the result is a ScalarQuantity. The actual computation is performed by the solver layer (Principle 12), not materialised as asserted triples in the OWL core.
Structure
Subclass of: gmeow:Measurement
Practical Pattern
Use gmeow:SpatialAggregation as a specialized kind of gmeow:Measurement. Add statement metadata or a standpoint when the assertion needs provenance, confidence, or vantage.
Example Snippets
These snippets are generated from canonical slice examples and trimmed to the Turtle blocks where this term appears.
Spatial Bins
- Source:
slices/extensions/aggregation/examples/spatial-bins.ttl - Examples catalog: open in catalog#example-slices-extensions-aggregation-examples-spatial-bins
# SPDX-FileCopyrightText: 2026 Blackcat Informatics® Inc. <paudley@blackcatinformatics.ca>
# SPDX-License-Identifier: CC-BY-4.0
#
# Worked example: spatial aggregation IS a measurement, with a privacy floor
# . A gmeow:SpatialAggregation is a gmeow:Measurement (so it carries the
# observation bundle: observedFeature, vantage, observationMethod, result) that
# applies a gmeow:aggregationFunction (average / count / density …) over
# gmeow:SpatialBins. gmeow:minimumPopulation is the k-anonymity floor: bins with
# fewer than that many people are NOT reported, so the aggregate can be published
# without re-identifying individuals (P12 — the safe public projection).
@prefix gmeow: <https://blackcatinformatics.ca/gmeow/> .
@prefix ex: <https://blackcatinformatics.ca/gmeow/examples/aggregation/> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
# --- The aggregation: average household size over the region, by survey, with a
# 1000-person minimum-population floor for safe publication.
ex:householdAgg a gmeow:SpatialAggregation ;
gmeow:observedFeature ex:metro ;
gmeow:vantage ex:censusBureau ;
gmeow:observationMethod gmeow:methodSurvey ;
gmeow:aggregationFunction gmeow:aggAverage ;
gmeow:minimumPopulation "1000"^^xsd:nonNegativeInteger ;
gmeow:hasBin ex:downtownBin ;
gmeow:observationResult ex:avgHouseholdSize .
Common Companion Terms
Projects To
| Profile | External Targets |
|---|---|
qb |
qb, rdf |
External Equivalences
Equivalent or closely aligned targets: qb
Linkages
Generated from the canonical mapping DSL. SSSOM files are the generated public interchange form for term equivalences.
Term Equivalences
| Source | Kind | Profile | Predicate/Relation | Target | Evidence |
|---|---|---|---|---|---|
gmeow:SpatialAggregation |
equivalence | - |
skos:closeMatch | qb:Observation | gmeow-aggregation.sssom.tsv; gmeow:eqAgg001; confidence 0.8 |
Projection Coverage
| Source | Kind | Profile | Predicate/Relation | Target | Evidence |
|---|---|---|---|---|---|
gmeow:SpatialAggregation |
projection | qb |
projects to / <= | gmeow:observedFeature, qb:ComponentSpecification, qb:DataSet, qb:DataStructureDefinition, qb:DimensionProperty, qb:MeasureProperty, qb:Observation, qb:component, qb:dataSet, qb:dimension, qb:measure, qb:measureType, qb:obsValue, qb:structure, rdf:type |
gmeow:mapQbObservation; lossy: vantage, confidence, temporal scope, granularity, determinacy, and k-anonymity metadata are dropped in pure QB; only the measure type (function), observation value (scalar), and spatial context (observedFeature) are retained. A well-formed qb:DataSet and qb:DataStructureDefinition are emitted per observation. Suppressed when displayable=false (Principle 10). |