A multifactor uniform regionalization of British counties on the basis of employment data for 1961
Bibliographic Data
| ID | 10409243 |
|---|---|
| Authors | N A Spence (London School of Economics and Political Science), Nigel Spence (0000-0002-7006-0522, London School of Economics and Political Science, corresponding author) |
| Year | 1968 |
| Volume | 2 |
| Issue | 1 |
| Pages | 87-104 |
| Publication date | 1968-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Regional Studies (JOURNAL) |
| Journal identifiers | ISSN: 0034-3404 • E-ISSN: 1360-0591 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/09595236800185071 |
| OpenAlex | W2070587811 |
| Language | EN |
| Citations received | 18 |
| References cited | 20 |
Spence N. A. (1968) A multifactor uniform regionalization of British counties on the basis of employment data for 1961, Reg. Studies 2, 87–104. A more precise approach to the delimitation of regions will ensure a better understanding of specific regional frameworks consistent with their uses in achieving a set of goals. Methods and results of a study of British employment regions in 1961 are presented. The problem is one in efficient multivariate classification. Components analysis isolates the basic patterns of variation of employment characteristics over counties, and grouping analysis classifies the counties on the basis of these patterns with respect to some objective function. Non-contiguous grouping produces county employment typologies; groupings of counties with a contiguity constraint produces uniform employment regions
Basis (linear algebra · Constraint (computer-aided design · Contiguity · Econometrics · Economic geography · Function (biology · Geography · Multivariate statistics · Regional science · Set (abstract data type · Statistics · Computer Science · Mathematics · Regional Economic and Spatial Analysis · Spatial and Panel Data Analysis
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| Unique citing works | 18 |
|---|---|
| Citations per year | 0,32 |
| Citation span | 1970 - 2021 (52) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 18 |