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Combining Areal and Point Data in Geostatistical Interpolation: Applications to Soil Science and Medical Geography
A common issue in spatial interpolation is the combination of data measured over different spatial supports. For example, information available for mapping disease risk typically includes point data (e.g. patients' and controls' residence) and aggregated data (e.g. socio-demographic and ec...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2995922/ https://ncbi.nlm.nih.gov/pubmed/21132098 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11004-010-9286-5 |
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