Reviewing spatial unit aggregation methods: MAUP, algorithms and a brief example
Spatial aggregation methods have generated interest in recent years due to their ease of adaptation to different objectives. Moreover, there are statistical reasons to support their use: they reduce the bias caused by the modifiable area unit problem (MAUP). This article presents a bibliographical r...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | México |
| Institución: | EL COLEGIO DE MÉXICO |
| Repositorio: | Estudios Demográficos y Urbanos |
| Idioma: | español |
| OAI Identifier: | oai:oai.estudiosdemograficosyurbanos.colmex.mx:article/1592 |
| Acceso en línea: | https://estudiosdemograficosyurbanos.colmex.mx/index.php/edu/article/view/1592 |
| Access Level: | acceso abierto |
| Palabra clave: | spatial aggregation computational algorithms MAUP modifiable area unit problem agregación espacial algoritmos computacionales problema de unidad de área modificable |
| Sumario: | Spatial aggregation methods have generated interest in recent years due to their ease of adaptation to different objectives. Moreover, there are statistical reasons to support their use: they reduce the bias caused by the modifiable area unit problem (MAUP). This article presents a bibliographical review of this issue and the different aggregation methods, together with the application of an algorithm to data from the Metropolitan Area of the Valley of Mexico. |
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