Socioeconomic scenarios


Ontology type: npg:Subject  | skos:Concept     


Concept Info

NAME

Socioeconomic scenarios

DESCRIPTION

Socioeconomic scenarios are plausible representations of the future based on coherent, and internally consistent, assumptions about the evolution of key social and economic drivers. Examples of these drivers are economic growth, technological development and population. They are not intended to be predictive, but are designed to explore the implications of different futures.

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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/ontologies/subjects/socioeconomic-scenarios'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/subjects/socioeconomic-scenarios'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/subjects/socioeconomic-scenarios'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/subjects/socioeconomic-scenarios'


 

This table displays all metadata directly associated to this object as RDF triples.

45 TRIPLES      8 PREDICATES      10 URIs      4 LITERALS

Subject Predicate Object
1 sg:ontologies/subjects/socioeconomic-scenarios sgo:license sg:explorer/license/
2 sgo:sdDataset onto_subjects
3 rdf:type npg:Subject
4 skos:Concept
5 rdfs:label Socioeconomic scenarios
6 skos:broader sg:ontologies/subjects/environmental-social-sciences
7 skos:definition Socioeconomic scenarios are plausible representations of the future based on coherent, and internally consistent, assumptions about the evolution of key social and economic drivers. Examples of these drivers are economic growth, technological development and population. They are not intended to be predictive, but are designed to explore the implications of different futures.
8 skos:inScheme sg:ontologies/subjects/
9 skos:prefLabel Socioeconomic scenarios
10 sg:ontologies/subjects/ dcterms:description The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature.
11 dcterms:title Nature Subjects Taxonomy
12 sgo:sdDataset onto_subjects
13 rdf:type skos:ConceptScheme
14 skos:hasTopConcept sg:ontologies/subjects/DEPRECATED
15 sg:ontologies/subjects/biological-sciences
16 sg:ontologies/subjects/business-and-commerce
17 sg:ontologies/subjects/earth-and-environmental-sciences
18 sg:ontologies/subjects/health-sciences
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20 sg:ontologies/subjects/physical-sciences
21 sg:ontologies/subjects/scientific-community-and-society
22 sg:ontologies/subjects/social-science
23 sg:ontologies/subjects/environmental-social-sciences sgo:sdDataset onto_subjects
24 rdf:type npg:Subject
25 skos:Concept
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27 skos:broader sg:ontologies/subjects/earth-and-environmental-sciences
28 skos:definition Environmental social science is the application of social science – broadly the study of the relationship between individuals in their context within society – and its application to our understanding of environmental issues.
29 skos:inScheme sg:ontologies/subjects/
30 skos:narrower sg:ontologies/subjects/climate-change-adaptation
31 sg:ontologies/subjects/climate-change-impacts
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33 sg:ontologies/subjects/climate-change-policy
34 sg:ontologies/subjects/energy-and-society
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36 sg:ontologies/subjects/environmental-impact
37 sg:ontologies/subjects/psychology-and-behaviour
38 sg:ontologies/subjects/socioeconomic-scenarios
39 sg:ontologies/subjects/sustainability
40 skos:prefLabel Environmental social sciences
41 skos:Concept sgo:sdDataset for_codes
42 rdf:type rdfs:Class
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44 rdfs:subClassOf rdfs:Resource
45 skos:Concept
 




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