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• W2145374335 abstract "Local regression methods can provide specific information about individual observations (places) in spatial analysis that is often useful in understanding non-stationary covariate relationships. Geographically weighted regression (GWR) is one widely used local regression model whose parameter estimates are mapped as continuous or discrete surfaces. A less frequently used local regression method used in spatial analysis is quantile regression (QR). One drawback to the use of QR is its restricted visualization possibilities; currently, regression parameter summaries for QR are visualized only as line graphs that plot parameter estimates against quantile levels. This article presents a method that also permits the spatial display of these values in a choropleth map so that QR can be added to the cartographic repertoire of exploratory data models." @default.
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• W2145374335 date "2013-09-01" @default.
• W2145374335 modified "2023-09-25" @default.
• W2145374335 title "Developing Choropleth Maps of Parameter Results for Quantile Regression" @default.
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• W2145374335 doi "https://doi.org/10.3138/carto.48.3.1564" @default.
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