author_facet Griffith, Daniel A.
Haining, Robert
Arbia, Giuseppe
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Haining, Robert
Arbia, Giuseppe
author Griffith, Daniel A.
Haining, Robert
Arbia, Giuseppe
spellingShingle Griffith, Daniel A.
Haining, Robert
Arbia, Giuseppe
Geographical Analysis
Heterogeneity of Attribute Sampling Error in Spatial Data Sets
Earth-Surface Processes
Geography, Planning and Development
author_sort griffith, daniel a.
spelling Griffith, Daniel A. Haining, Robert Arbia, Giuseppe 0016-7363 1538-4632 Wiley Earth-Surface Processes Geography, Planning and Development http://dx.doi.org/10.1111/j.1538-4632.1994.tb00328.x <jats:p>This paper considers the standard error of the estimate of the mean of a spatially correlated variable in the case where data are obtained by a process of random sampling. Two distinct mean estimation problems are identified: estimating the area mean and estimating the population mean. Methods are described for obtaining standard error estimates in the two cases and, within the limits of publicly available information, the methods are implemented on average household income data at the census tract scale for Syracuse, New York. The purpose of the paper is to draw attention to issues of data precision in relation to sampled geographic information on averages and in particular to consider the problems of estimating standard errors using such data. The paper also examines the extent to which standard errors vary between census tracts.</jats:p> Heterogeneity of Attribute Sampling Error in Spatial Data Sets Geographical Analysis
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title Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_unstemmed Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_full Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_fullStr Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_full_unstemmed Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_short Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_sort heterogeneity of attribute sampling error in spatial data sets
topic Earth-Surface Processes
Geography, Planning and Development
url http://dx.doi.org/10.1111/j.1538-4632.1994.tb00328.x
publishDate 1994
physical 300-320
description <jats:p>This paper considers the standard error of the estimate of the mean of a spatially correlated variable in the case where data are obtained by a process of random sampling. Two distinct mean estimation problems are identified: estimating the area mean and estimating the population mean. Methods are described for obtaining standard error estimates in the two cases and, within the limits of publicly available information, the methods are implemented on average household income data at the census tract scale for Syracuse, New York. The purpose of the paper is to draw attention to issues of data precision in relation to sampled geographic information on averages and in particular to consider the problems of estimating standard errors using such data. The paper also examines the extent to which standard errors vary between census tracts.</jats:p>
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description <jats:p>This paper considers the standard error of the estimate of the mean of a spatially correlated variable in the case where data are obtained by a process of random sampling. Two distinct mean estimation problems are identified: estimating the area mean and estimating the population mean. Methods are described for obtaining standard error estimates in the two cases and, within the limits of publicly available information, the methods are implemented on average household income data at the census tract scale for Syracuse, New York. The purpose of the paper is to draw attention to issues of data precision in relation to sampled geographic information on averages and in particular to consider the problems of estimating standard errors using such data. The paper also examines the extent to which standard errors vary between census tracts.</jats:p>
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spelling Griffith, Daniel A. Haining, Robert Arbia, Giuseppe 0016-7363 1538-4632 Wiley Earth-Surface Processes Geography, Planning and Development http://dx.doi.org/10.1111/j.1538-4632.1994.tb00328.x <jats:p>This paper considers the standard error of the estimate of the mean of a spatially correlated variable in the case where data are obtained by a process of random sampling. Two distinct mean estimation problems are identified: estimating the area mean and estimating the population mean. Methods are described for obtaining standard error estimates in the two cases and, within the limits of publicly available information, the methods are implemented on average household income data at the census tract scale for Syracuse, New York. The purpose of the paper is to draw attention to issues of data precision in relation to sampled geographic information on averages and in particular to consider the problems of estimating standard errors using such data. The paper also examines the extent to which standard errors vary between census tracts.</jats:p> Heterogeneity of Attribute Sampling Error in Spatial Data Sets Geographical Analysis
spellingShingle Griffith, Daniel A., Haining, Robert, Arbia, Giuseppe, Geographical Analysis, Heterogeneity of Attribute Sampling Error in Spatial Data Sets, Earth-Surface Processes, Geography, Planning and Development
title Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_full Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_fullStr Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_full_unstemmed Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_short Heterogeneity of Attribute Sampling Error in Spatial Data Sets
title_sort heterogeneity of attribute sampling error in spatial data sets
title_unstemmed Heterogeneity of Attribute Sampling Error in Spatial Data Sets
topic Earth-Surface Processes, Geography, Planning and Development
url http://dx.doi.org/10.1111/j.1538-4632.1994.tb00328.x