Heterogeneity of Attribute Sampling Error in Spatial Data Sets

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Bibliographische Detailangaben
Zeitschriftentitel:	Geographical Analysis
Personen und Körperschaften:	Griffith, Daniel A., Haining, Robert, Arbia, Giuseppe
In:	Geographical Analysis, 26, 1994, 4, S. 300-320
Format:	E-Article
Sprache:	Englisch
veröffentlicht:	Wiley
Schlagwörter:	Earth-Surface Processes Geography, Planning and Development

Details
Zusammenfassung:	<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>
Umfang:	300-320
ISSN:	0016-7363 1538-4632
DOI:	10.1111/j.1538-4632.1994.tb00328.x