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Data · dataset · 2023

Geocoding from postal codes: what data service providers need to know about PCCF and PCCF+

Listed in Borealis

Postal codes are part of nearly every administrative and research data set, and postal code conversion using PCCF or PCCF+ and related tools is now the usual way of exploiting their rather impressive potential.

Description

The resulting small area geography and/or latitude-longitude coordinates have a wide variety of possible uses, even where individual measures of SES are also available on a data set. Familiarity with the methods (tools and techniques), as well as the strengths and limitations of dealing with postal coded data, will allow data service providers to help users to more meaningfully exploit their potential.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
From keywords
Social Science
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/UE1VAM13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:social-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0