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Heterogeneity of Attribute Sampling Error in Spatial Data Sets
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Zeitschriftentitel: | Geographical Analysis |
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Personen und Körperschaften: | , , |
In: | Geographical Analysis, 26, 1994, 4, S. 300-320 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Wiley
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Schlagwörter: |
author_facet |
Griffith, Daniel A. Haining, Robert Arbia, Giuseppe Griffith, Daniel A. Haining, Robert Arbia, Giuseppe |
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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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1994 |
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Wiley |
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Geographical Analysis |
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49 |
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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author | Griffith, Daniel A., Haining, Robert, Arbia, Giuseppe |
author_facet | Griffith, Daniel A., Haining, Robert, Arbia, Giuseppe, Griffith, Daniel A., Haining, Robert, Arbia, Giuseppe |
author_sort | griffith, daniel a. |
container_issue | 4 |
container_start_page | 300 |
container_title | Geographical Analysis |
container_volume | 26 |
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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imprint | Wiley, 1994 |
imprint_str_mv | Wiley, 1994 |
institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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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 |