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Slot: Population Weighting Source (population_weighting_source)

Census vintage used for population weighting (e.g. the Spangler et al. WBGT product is population-weighted from gridMET). Null when no weighting is applied.

Tier: conditionally_core

Why this slot matters

Population-weighted values depend on which population dataset and census vintage supplied the weights; the same grid weighted by 2010 versus 2020 populations gives different exposures. Without the source, a weighted value cannot be reproduced or compared with other weighted products.

In plain terms

Some datasets average their tiles by giving more weight to places where more people live, so the number reflects what a typical resident experiences rather than a plain average over land. This field names the population map (and its year) that was used for that weighting.

URI: envar:slot/population_weighting_source

Applicable Classes

Name Description Modifies Slot
SpatialReference Spatial provenance of an environmental exposure value: the native grid / foot... no

Properties

Type and Range

Property Value
Range String
Domain Of SpatialReference

Cardinality and Requirements

Property Value

Examples

Value
GPW v4 (2020)

See Also

Identifier and Mapping Information

Annotations

property value
tier conditionally_core
tier_context cross-module — Core iff spatial_reference.extraction_method is population_weighted_mean OR linkage_method.linkage_strategy is population_weighted_area_to_residence. The disjunction spans two classes, so it is not expressible as a class rule; the checker evaluates it in RESIDUAL_CONTEXT_PREDICATES.
justification Population-weighted values depend on which population dataset and census vintage supplied the weights; the same grid weighted by 2010 versus 2020 populations gives different exposures. Without the source, a weighted value cannot be reproduced or compared with other weighted products.
explanation Some datasets average their tiles by giving more weight to places where more people live, so the number reflects what a typical resident experiences rather than a plain average over land. This field names the population map (and its year) that was used for that weighting.

Schema Source

Mappings

Mapping Type Mapped Value
self envar:population_weighting_source
native envar:population_weighting_source

LinkML Source

name: population_weighting_source
annotations:
  tier:
    tag: tier
    value: conditionally_core
  tier_context:
    tag: tier_context
    value: cross-module — Core iff spatial_reference.extraction_method is population_weighted_mean
      OR linkage_method.linkage_strategy is population_weighted_area_to_residence.
      The disjunction spans two classes, so it is not expressible as a class rule;
      the checker evaluates it in RESIDUAL_CONTEXT_PREDICATES.
  justification:
    tag: justification
    value: Population-weighted values depend on which population dataset and census
      vintage supplied the weights; the same grid weighted by 2010 versus 2020 populations
      gives different exposures. Without the source, a weighted value cannot be reproduced
      or compared with other weighted products.
  explanation:
    tag: explanation
    value: Some datasets average their tiles by giving more weight to places where
      more people live, so the number reflects what a typical resident experiences
      rather than a plain average over land. This field names the population map (and
      its year) that was used for that weighting.
description: Census vintage used for population weighting (e.g. the Spangler et al.
  WBGT product is population-weighted from gridMET). Null when no weighting is applied.
title: Population Weighting Source
examples:
- value: GPW v4 (2020)
  description: Gridded Population of the World v4, used in the ACAG PM2.5 scenario
from_schema: https://w3id.org/linkml/microschemas/envar
see_also:
- https://www.census.gov/programs-surveys/geography/guidance/geo-areas.html
- https://www.climatologylab.org/gridmet.html
rank: 1000
domain_of:
- SpatialReference
range: string