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Spatial Exploration on Obesity and Walking in Northern New England

出版	University of Vermont, 2013
URL	http://books.google.com.hk/books?id=tg0VmwEACAAJ&hl=&source=gbs_api

註釋The first paper examines Spatial Auto-correlation (SA) in rates of obesity and walking. From the survey data, Body Mass Index (BMI) and walking are derived as study variables. By dividing the dataset into strata by individual states and rural/urban areas, spatial scale effects are accounted for. As the widely applied method in examining SA, Moran's I shows inconsistency for the same stratum using different weight matrices, the study introduces semi-variogram analysis to address local spatial variation. Not surprisingly, some scales find SA while others do not, indicating that spatial scale matters. For scenarios with positive SA, the study predicts obesity and walking rates using GIS kriging based on semi-variogram parameters and compares them with actual values to validate the estimation. The predictions turn out to be good. Lastly, Moran's I is recalculated by using semi-variogram parameters. The study reinforces that semivariogram analysis is effective in examining SA, and Moran's I could be improved with its help.