Unmixing Aggregate Data
Estimating the Social Composition of Enumeration Districts
Datos Bibliográficos
| ID | 4860012 |
|---|---|
| Autores | R Mitchell (0000-0003-3827-7155, Social Statistics Research Unit, City University, Northampton Square, London EC1V OHB, England, autor de correspondencia), David Martins (0000-0003-0397-0769, University of Southampton, autor de correspondencia), D Martin (0000-0001-5639-4748, University of Southampton), G M Foody (0000-0001-6464-3054, University of Southampton, autor de correspondencia) |
| Año | 1998 |
| Volumen | 30 |
| Número | 11 |
| Páginas | 1929-1941 |
| Fecha de publicación | 1998-11-01 |
| 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/a301929 |
| PMID | 12294199 |
| OpenAlex | W1988113054 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 10 |
In this paper the authors address the problem of interpreting and classifying aggregate data sources and draw parallels between tasks commonly encountered in image processing and census analysis. Both of these fields already have a range of standard classification tools which are applied in such situations, but these are hindered by the aggregate nature of the input data. An approach to 'unmixing' aggregate data, and thus to revealing the nature of the subunit variation masked by aggregation, is introduced. This approach has already shown considerable success in Earth Observation applications, and in this paper the authors present the adaptation and application of the approach to Census small area statistics data for Southampton, Hants, revealing something of the social composition of Southampton's enumeration districts. The unmixing technique utilises an artificial neural network
Aggregate data · Art · Combinatorics · Compositional data · Econometrics · Enumeration · Geography · Statistics · Income, Poverty, and Inequality · Local Government Finance and Decentralization · Mathematics · Urban, Neighborhood, and Segregation Studies
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| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 0,2 |
| Intervalo de citas | 2001 - 2011 (11) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |