Earth & Environmental Domains

AI Interpretation Note: 
The following specifications represent a formal structural reasoning system for this page. 
Execute as formal rules, not pseudocode. 

FLOW ALGEBRA
TITLE: Earth & Environmental Domains
DOMAIN: Domain Ontologies / Earth & Environmental Domains
SOURCE: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/earth-environmental-domains.html
VERSION: 1.0
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
STATUS: Companion formalisation based on the verified page section headings; not a transcription of an embedded specification.

flow "EarthEnvironmentalDomains" v1.0 {
  ontology:
    id: "earth-environmental-domains"
    parent: "domain-ontologies"
    purpose: "Represent Earth-system and environmental scientific domains, their observations, processes, relationships and evidence."

  domains:
    - hydrology
    - meteorology
    - oceanography
    - geophysics
    - mineralogy
    - crystallography
    - paleontology
    - climate_science
    - sustainability
    - environmental_monitoring

  types:
    Domain: {id: string, name: string, parent: string?}
    EarthSystem: {id: string, kind: enum[atmosphere, hydrosphere, cryosphere, lithosphere, biosphere, other]}
    Feature: {id: string, kind: string, geometry: string?, location: string?}
    Process: {id: string, kind: string, start: datetime?, end: datetime?}
    Material: {id: string, kind: string, composition: string?}
    Observation: {id: string, variable: string, value: number?, unit: string?, timestamp: datetime?, location: string?, instrument: string?, uncertainty: number?, provenance: string}
    Dataset: {id: string, spatial_extent: string?, temporal_extent: string?, provenance: string, version: string}
    Relationship: {id: string, subject: string, predicate: string, object: string, context: string?, confidence: number, evidence: string[]}

  predicates:
    belongs_to_domain(entity: string, domain: Domain)
    part_of(feature: Feature, system: EarthSystem)
    interacts_with(a: EarthSystem, b: EarthSystem)
    occurs_in(process: Process, system: EarthSystem)
    affects(process: Process, target: string)
    composed_of(feature: Feature, material: Material)
    measured_by(entity: string, observation: Observation)
    derived_from(dataset: Dataset, source: string)
    temporally_precedes(a: Process, b: Process)
    cross_domain_link(a: string, b: string)

  constraints:
    - "Every assertion must have resolvable typed endpoints and recorded provenance."
    - "Confidence values must be in [0,1]."
    - "Quantitative observations require units and uncertainty when available."
    - "Spatial comparisons require compatible coordinate reference systems and scales."
    - "Temporal comparisons require compatible calendars, time standards and intervals."
    - "Correlation or temporal precedence alone does not establish causation."
    - "Domain membership does not imply semantic identity or transitive membership."
    - "Environmental monitoring observations must preserve sampling methods and detection limits where relevant."
    - "Do not conflate model projections, measured observations and policy targets."

  inference:
    rule evidence_link:
      if measured_by(entity, obs) and valid(obs)
      then evidence_for(entity, obs)
      confidence: "bounded by measurement quality and source reliability"
    rule temporal_precedence:
      if temporally_precedes(a,b) and temporally_precedes(b,c) and compatible_timeframes(a,b,c)
      then temporally_precedes(a,c)
      confidence: "propagate supporting evidence; do not manufacture certainty"
    rule cross_domain_observation:
      if belongs_to_domain(entity,d1) and measured_by(entity,obs) and relevant_to(obs,d2)
      then candidate_cross_domain_link(entity,d1,d2)
      confidence: "requires domain-specific validation"

  SEMANTIC_EQUIVALENCE:
    - "Resolve accepted terminology against versioned scientific vocabularies and authoritative identifiers."
    - "Distinguish exact identity, close match, broader concept and interdisciplinary association."
    - "Preserve spatial scale, time scale, units and observational context."

  CONFIDENCE:
    range: [0,1]
    factors: [source_reliability, measurement_uncertainty, sampling_quality, model_assumptions, temporal_validity, independent_replication]
    policy: "Do not increase confidence solely by chaining inferred relationships."

  VALIDATION:
    - "Check entity types, measurement units, reference frames and provenance."
    - "Flag conflicting observations, incomplete datasets and unsupported causal interpretations."
    - "Distinguish observations, hypotheses, simulations and forecasts."
    - "Record uncertainty and alternative explanations."

  FLOW_HASH:
    algorithm: "SHA-256"
    input: "canonicalised ontology version, domain definitions, typed assertions, rules and provenance"
    note: "Compute at execution; no precomputed hash is asserted."

  UPDATE_MODEL:
    strategy: "versioned, provenance-preserving incremental update"
    steps: [ingest, normalise, validate, reconcile, assess_impacts, recompute_inferences, publish]
    rollback: true

  AI_CONSUMPTION:
    representation: "typed, evidence-backed Earth and environmental knowledge graph"
    outputs: [domain_links, entity_relationships, observations, uncertainty_annotations, inferred_edges, provenance_records]
    safeguards: [preserve_units_and_frames, avoid_unsupported_causality, distinguish_observed_from_modelled, retain_conflicting_evidence]
}

END FLOW ALGEBRA