2001
DOI: 10.3354/cr018163
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Interpolation of temperature and non-urban ozone exposure at high spatial resolution over the western United States

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Cited by 13 publications
(7 citation statements)
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“…The remaining four sites were chosen based on a history of minimal human influence associated with factors such as topographic isolation and land‐use history. All sites are in either northern interior Idaho or western Montana: locations where the potential radial growth impacts of either ozone or nitrogen are minimized because of low exposure (Lee & Hogsett, ).…”
Section: Methodsmentioning
confidence: 99%
“…The remaining four sites were chosen based on a history of minimal human influence associated with factors such as topographic isolation and land‐use history. All sites are in either northern interior Idaho or western Montana: locations where the potential radial growth impacts of either ozone or nitrogen are minimized because of low exposure (Lee & Hogsett, ).…”
Section: Methodsmentioning
confidence: 99%
“…We selected all sites based on criteria designed to limit the number of potential confounding influences that could affect radial growth. Specifically, our selected sites: 1) were open stands of co-occurring PSME and PIPO trees available in both older (establishing prior to AD 1800) and younger (interior dates post-1875) age classes; 2) had a history of minimal anthropogenic disturbance; 3) are located in interior Idaho and western Montana to negate or minimize potential impacts on radial growth by ozone (Lee and Hogsett, 2001) or nitrogen deposition (Fenn et al, 2003); 4) have no known histories of pandora moth (Coloradia Pandora) Fig. 1.…”
Section: Tree-ring Data Collection and Processingmentioning
confidence: 99%
“…Chem. 22, 2003 979 to model variation over shorter distances, where assumptions such as stationarity are more likely to be met [20]. The above example is not meant to suggest that kriging approaches are not useful, but it does suggest that there are uncertainties in the use of kriging models that go beyond the uncertainty estimated with any specific model.…”
Section: Spatial Interpolationmentioning
confidence: 99%
“…For example, even if a single variogram is adequate for a kriging analysis, it may not be adequate for assessing the uncertainty of kriged estimates because uncertainty often increases with increases in the mean value [16]. Nonparametric methods of interpolation, such as locally weighted regression, may be useful in situations where assumptions such as stationarity (all data are from the same statistical population) are not met or where multiple predictor variables are used [20]. Such techniques can be used to model spatial patterns over long distances, and then kriging can be used on the residuals to model variation over shorter distances, where assumptions such as stationarity are more likely to be met [20].…”
Section: Introductionmentioning
confidence: 99%