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SemanticWeb::Schema::StatisticalPopulation - A StatisticalPopulation is a set of instances of a certain given type that satisfy some set of constraints
A StatisticalPopulation is a set of instances of a certain given type that satisfy some set of constraints. The property populationType is used to specify the type. Any property that can be used on instances of that type can appear on the statistical population. For example, a StatisticalPopulation representing all Persons with a homeLocation of East Podunk California, would be described by applying the appropriate homeLocation and populationType properties to a StatisticalPopulation item that stands for that set of people. The properties numConstraints and constrainingProperties are used to specify which of the populations properties are used to specify the population. Note that the sense of "population" used here is the general sense of a statistical population, and does not imply that the population consists of people. For example, a populationType of Event or NewsArticle could be used. See also Observation, and the data and datasets overview for more details.
A constraining_property should be one of the following types:
A predicate for the "constraining_property" attribute.
Indicates the number of constraints (not counting populationType) defined for a particular StatisticalPopulation. This helps applications understand if they have access to a sufficiently complete description of a StatisticalPopulation.
A num_constraints should be one of the following types:
A predicate for the "num_constraints" attribute.
Indicates the populationType common to all members of a StatisticalPopulation.
A population_type should be one of the following types:
A predicate for the "population_type" attribute.
Please report any bugs or feature requests on the bugtracker website https://github.com/robrwo/SemanticWeb-Schema/issues
When submitting a bug or request, please include a test-file or a patch to an existing test-file that illustrates the bug or desired feature.
Robert Rothenberg <firstname.lastname@example.org>
This software is Copyright (c) 2018-2020 by Robert Rothenberg.
This is free software, licensed under:
The Artistic License 2.0 (GPL Compatible)