The Generation of Spatial Population Distributions from Census Centroid Data
Datos Bibliográficos
| ID | 4918947 |
|---|---|
| Autores | Ian Bracken (University of Wales), David Martins (0000-0003-0397-0769, University of Wales), D Martin (0000-0001-5639-4748, Department of Town Planning, University of Wales at Cardiff, Colum Drive, Cardiff CF1 3EU, Wales) |
| Año | 1989 |
| Volumen | 21 |
| Número | 4 |
| Páginas | 537-543 |
| Fecha de publicación | 1989-04-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Environment and Planning A Economy and Space (JOURNAL) |
| Identificadores de la revista | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a210537 |
| PMID | 12315638 |
| OpenAlex | W1993523768 |
| Idioma | EN |
| Citas recibidas | 47 |
| Referencias citadas | 10 |
Census data are commonly used in geographical analysis and to inform planning purposes, though at the disaggregate level the basis of enumeration poses difficulties. In this paper an approach to surface generation is described that offers the prospect of revealing an underlying population distribution from centroid-based data which is independent of zonal geography. It is suggested that this can serve a wide variety of analytical, cartographic, and policy purposes, including the creation of spatial indicators of economic and social conditions and enhancing the value of census data. The approach is illustrated by reference to an analysis of part of the valleys of South Wales, in the United Kingdom
Cartography · Census · Centroid · Data science · Econometrics · Geography · Population · Regional science · Sociology · Statistics · Computer Science · demographic modeling and climate adaptation · Demography · Insurance, Mortality, Demography, Risk Management · Mathematics · Spatial and Panel Data Analysis
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| Obras citantes distintas | 47 |
|---|---|
| Citas por año | 1,27 |
| Intervalo de citas | 1989 - 2025 (37) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 44 |