Impacts of positional error on spatial statistics confidence intervals
نویسندگان
چکیده
Spatial statistical analyses inevitably are affected by positional errors embedded in georeferenced data. Positional errors further propagate when observations need to be geographically aggregated. This data accuracy issue often results in unreliable statistical conclusion about attribute variables in spatial statistical modeling. This paper investigates how positional errors propagate to variables based on geographically aggregated units in terms of impacts on regression coefficient confidence intervals.
منابع مشابه
Local indicators of geocoding accuracy (LIGA): theory and application
BACKGROUND Although sources of positional error in geographic locations (e.g. geocoding error) used for describing and modeling spatial patterns are widely acknowledged, research on how such error impacts the statistical results has been limited. In this paper we explore techniques for quantifying the perturbability of spatial weights to different specifications of positional error. RESULTS W...
متن کاملDistribution Free Confidence Intervals for Quantiles Based on Extreme Order Statistics in a Multi-Sampling Plan
Extended Abstract. Let Xi1 ,..., Xini ,i=1,2,3,....,k be independent random samples from distribution $F^{alpha_i}$، i=1,...,k, where F is an absolutely continuous distribution function and $alpha_i>0$ Also, suppose that these samples are independent. Let Mi,ni and M'i,ni respectively, denote the maximum and minimum of the ith sa...
متن کاملA research agenda: does geocoding positional error matter in health GIS studies?
Until recently, little attention has been paid to geocoding positional accuracy and its impacts on accessibility measures; estimates of disease rates; findings of disease clustering; spatial prediction and modeling of health outcomes; and estimates of individual exposures based on geographic proximity to pollutant and pathogen sources. It is now clear that positional errors can result in flawed...
متن کاملOuter and Inner Confidence Intervals Based on Extreme Order Statistics in a Proportional Hazard Model
Let Mi and Mi be the maximum and minimum of the ith sample from k independent sample with different sample sizes, respectively. Suppose that the survival distribution function of the ith sample is F ̄i = F ̄αi, where αi is known and positive constant. It is shown that how various exact non-parametric inferential proce- ′ dures can be developed on the basis of Mi’s and Mi ’s for distribution ...
متن کاملStatistical Significance of Geographic Heterogeneity Measures In Spatial Epidemiologic Studies.
Assessing geographic variations in health events is one of the major tasks in spatial epidemiologic studies. Geographic variation in a health event can be estimated using the neighborhood-level variance that is derived from a generalized mixed linear model or a Bayesian spatial hierarchical model. Two novel heterogeneity measures, including median odds ratio and interquartile odds ratio, have b...
متن کامل