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Using kernel density estimation to understand the influence of neighbourhood destinations on BMI
OBJECTIVES: Little is known about how the distribution of destinations in the local neighbourhood is related to body mass index (BMI). Kernel density estimation (KDE) is a spatial analysis technique that accounts for the location of features relative to each other. Using KDE, this study investigated...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4762106/ https://www.ncbi.nlm.nih.gov/pubmed/26883235 http://dx.doi.org/10.1136/bmjopen-2015-008878 |