Premium
Heterogeneity of Attribute Sampling Error in Spatial Data Sets
Author(s) -
Griffith Daniel A.,
Haining Robert,
Arbia Giuseppe
Publication year - 1994
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.1994.tb00328.x
Subject(s) - standard error , statistics , sampling (signal processing) , scale (ratio) , estimation , census , spatial analysis , population , census tract , variable (mathematics) , standard deviation , econometrics , computer science , mathematics , geography , cartography , demography , mathematical analysis , management , filter (signal processing) , sociology , economics , computer vision
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.