comparisonofarcgisandsasgeostatisticalanalysttoestimatepopulationweightedmonthlytemperatureforuscounties

	comparisonofarcgisandsasgeostatisticalanalysttoestimatepopulationweightedmonthlytemperatureforuscounties
	Qi Xiaopeng 4; Wei Liang 1; Barker Laurie 1; Lekiachvili Akaki 2; Zhang Xingyou 3
刊名	journalofresourcesandecology
	2012
卷号	3 期号:3 页码:220
ISSN号	1674-764X
英文摘要	Temperature changes are known to have significant impacts on human health. Accurate estimates of population-weighted average monthly air temperature for US counties are needed to evaluate temperature's association with health behaviours and disease, which are sampled or reported at the county level and measured on a monthly—or 30-day—basis. Most reported temperature estimates were calculated using ArcGIS, relatively few used SAS. We compared the performance of geostatistical models to estimate population-weighted average temperature in each month for counties in 48 states using ArcGIS v9.3 and SAS v 9.2 on a CITGO platform. Monthly average temperature for Jan-Dec 2007 and elevation from 5435 weather stations were used to estimate the temperature at county population centroids. County estimates were produced with elevation as a covariate. Performance of models was assessed by comparing adjusted R~2, mean squared error, root mean squared error, and processing time. Prediction accuracy for split validation was above 90% for 11 months in ArcGIS and all 12 months in SAS. Cokriging in SAS achieved higher prediction accuracy and lower estimation bias as compared to cokriging in ArcGIS. County-level estimates produced by both packages were positively correlated (adjusted R2 range=0.95 to 0.99); accuracy and precision improved with elevation as a covariate. Both methods from ArcGIS and SAS are reliable for U.S. county-level temperature estimates; However, ArcGIS's merits in spatial data pre-processing and processing time may be important considerations for software selection, especially for multi-year or multi-state projects.
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/100789]
专题	中国科学院地理科学与资源研究所
作者单位	1.Division of Oral Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention 2.Office of Informatics and Information Resources Management, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention 3.Division of Adult and Community Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention 4.中国科学院地理科学与资源研究所
推荐引用方式 GB/T 7714	Qi Xiaopeng,Wei Liang,Barker Laurie,et al. comparisonofarcgisandsasgeostatisticalanalysttoestimatepopulationweightedmonthlytemperatureforuscounties[J]. journalofresourcesandecology,2012,3(3):220.
APA	Qi Xiaopeng,Wei Liang,Barker Laurie,Lekiachvili Akaki,&Zhang Xingyou.(2012).comparisonofarcgisandsasgeostatisticalanalysttoestimatepopulationweightedmonthlytemperatureforuscounties.journalofresourcesandecology,3(3),220.
MLA	Qi Xiaopeng,et al."comparisonofarcgisandsasgeostatisticalanalysttoestimatepopulationweightedmonthlytemperatureforuscounties".journalofresourcesandecology 3.3(2012):220.