Journal of the American Statistical Association · 1979 · 636 citations · 35 references
ComputingGeographySpatial AnalysisSpatial ModelingSpatial StatisticsInterpolation TechniquesPopulation DensityPopulation EnumerationPopulation InterpolationSpatial Density EstimationSpatial InterpolationAreal InterpolationCensus RegionsContour Line InterpolationContour-based InterpolationControl PointsFinite Difference Methods In EnumerationGeospatial Population InterpolationVolume-preserving Maps
Abstract Census enumerations are usually packaged in irregularly shaped geographical regions. Interior values can be interpolated for such regions, without specification of “control points,” by using an analogy to elliptical partial differential equations. A solution procedure is suggested, using finite difference methods with classical boundary conditions. In order to estimate densities, an additional nonnegativity condition is required. Smooth contour maps, which satisfy the volume preserving and nonnegativity constraints, illustrate the method using actual geographical data. It is suggested that the procedure may be used to convert observations from one bureaucratic partitioning of a geographical area to another.
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Central Places in Southern Germany
Brian J. I. Berry, Carlisle W. Baskin, Walter Christaller · Economic Geography · 1967 · 2.5K citations
<i>Approximate Methods of Higher Analysis</i>
L. V. Kantorovich, V. I. Krylov, Curtis D. Benster et al. · Physics Today · 1960 · 1.5K citations