Transforming geographic scale: a comparison of combined population and areal weighting to other interpolation methods
暂无分享,去创建一个
L. Peipins | E. Tai | E. Hallisey | B. Flanagan | B. Lewis | Andrew S. Berens | G. Wilt | S. Graham | N. B. Lunsford | Barry Flanagan | Shannon Graham
[1] Niall Cunningham,et al. The Inner Geographies of a Migrant Gateway: Mapping the Built Environment and the Dynamics of Caribbean Mobility in Manchester, 1951–2011 , 2016, Social Science History.
[2] D. Giavarina. Understanding Bland Altman analysis , 2015, Biochemia medica.
[3] E. Tai,et al. Treatment Setting, Clinical Trial Enrollment, and Subsequent Outcomes Among Adolescents With Cancer: A Literature Review , 2014, Pediatrics.
[4] Kurt J Greenlund,et al. Multilevel regression and poststratification for small-area estimation of population health outcomes: a case study of chronic obstructive pulmonary disease prevalence using the behavioral risk factor surveillance system. , 2014, American journal of epidemiology.
[5] Pat McLaughlin,et al. Testing agreement between a new method and the gold standard-how do we test? , 2013, Journal of biomechanics.
[6] S. McGuire. Shields M., Carroll M.D., Ogden C.L. adult obesity prevalence in Canada and the United States. NCHS data brief no. 56, Hyattsville, MD: National Center for Health Statistics, 2011. , 2011, Advances in nutrition.
[7] James L. Wilson,et al. Disease, Death, and the Body Politic: An Areal Interpolation Example for Political Epidemiology , 2010, Int. J. Appl. Geospat. Res..
[8] Anna F. Tapp,et al. Areal Interpolation and Dasymetric Mapping Methods Using Local Ancillary Data Sources , 2010 .
[9] J. Maantay,et al. Research Note—A New Method for Mapping Population and Understanding the Spatial Dynamics of Disease in Urban Areas: Asthma in the Bronx, New York , 2008 .
[10] W. Woods,et al. Access to pediatric cancer care by age, race, and diagnosis, and outcomes of cancer treatment in pediatric and adolescent patients in the state of Georgia. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[11] R. Stimson,et al. A comparison of spatial disaggregation techniques as applied to population estimation for South East Queensland (SEQ), Australia , 2007 .
[12] Pierre Goovaerts,et al. International Journal of Health Geographics Geostatistical Analysis of Disease Data: Accounting for Spatial Support and Population Density in the Isopleth Mapping of Cancer Mortality Risk Using Area-to-point Poisson Kriging , 2022 .
[13] Qiang Cai,et al. Estimating Small‐Area Populations by Age and Sex Using Spatial Interpolation and Statistical Inference Methods , 2006, Trans. GIS.
[14] Michael J Thun,et al. International Journal of Health Geographics U.s. Congressional District Cancer Death Rates , 2022 .
[15] Mitchel Langford,et al. Obtaining population estimates in non-census reporting zones: An evaluation of the 3-class dasymetric method , 2006, Comput. Environ. Urban Syst..
[16] N. Andersson,et al. International Journal of Health Geographics Epidemiological Geomatics in Evaluation of Mine Risk Education in Afghanistan: Introducing Population Weighted Raster Maps , 2006 .
[17] Jeremy Mennis,et al. Intelligent Dasymetric Mapping and Its Application to Areal Interpolation , 2006 .
[18] I. Gregory,et al. Breaking the boundaries: geographical approaches to integrating 200 years of the census , 2005 .
[19] C. Lo,et al. Dasymetric Estimation of Population Density and Areal Interpolation of Census Data , 2004 .
[20] J. Diem,et al. A critical examination of ozone mapping from a spatial-scale perspective. , 2003, Environmental pollution.
[21] Philip Rees,et al. Achieving data compatibility over space and time: creating consistent geographical zones , 2003 .
[22] J. Mennis. Generating Surface Models of Population Using Dasymetric Mapping , 2003, The Professional Geographer.
[23] A E Gelfand,et al. On the change of support problem for spatio-temporal data. , 2001, Biostatistics.
[24] Cynthia A. Brewer,et al. Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation , 2001 .
[25] A. Fremgen,et al. #50 Adolescent cancers in the United States: a national cancer data base (NCDB) report , 1999 .
[26] D. Altman,et al. Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.
[27] D. Altman,et al. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.
[28] A. Chiang. Evaluating The Performance Of A Filtered Area Weighting Method In Population Estimation For Public Health Studies , 2013 .
[29] Alexander Gribov,et al. Multivariate Areal Interpolation for Continuous and Count Data , 2011 .
[30] Pierre Goovaerts,et al. Geostatistical Analysis of County-Level Lung Cancer Mortality Rates in the Southeastern United States. , 2010, Geographical analysis.
[31] J. Maantay,et al. — A NEW METHOD FOR MAPPING POPULATION AND UNDERSTANDING THE SPATIAL DYNAMICS OF DISEASE IN URBAN AREAS : ASTHMA IN THE BRONX , NEW , 2008 .
[32] Y. LindaJ.. Combining Incompatible Spatial Data , 2003 .
[33] Ludi Simpson,et al. Geography conversion tables: a framework for conversion of data between geographical units , 2002 .
[34] N. Lam. Spatial Interpolation Methods: A Review , 1983 .
[35] Michael F. Goodchild,et al. Areal interpolation: A variant of the traditional spatial problem , 1980 .