A Framework for the Areal Interpolation of Socioeconomic Data
- 1 March 1993
- journal article
- research article
- Published by SAGE Publications in Environment and Planning A: Economy and Space
- Vol. 25 (3), 383-397
- https://doi.org/10.1068/a250383
Abstract
Spatial data are collected and represented as attributes of spatial objects embedded in a plane. Basis change is defined as the transfer of attributes from one set of objects to another. Methods of basis change for socioeconomic data are reviewed and are seen to differ in the assumptions made in each about underlying density surfaces. These methods are extended to more general cases, and an illustration is provided by using Californian data. The implementation of this framework within a geographical information system is discussed.This publication has 21 references indexed in Scilit:
- Techniques for Modelling Population-Related Raster DatabasesEnvironment and Planning A: Economy and Space, 1991
- Using areal interpolation methods in geographic information systemsPapers in Regional Science, 1991
- The Generation of Spatial Population Distributions from Census Centroid DataEnvironment and Planning A: Economy and Space, 1989
- Exact inference in the inequality constrained normal linear regression modelJournal of Applied Econometrics, 1986
- The Distribution of Population and Employment in a Polycentric City: The Case of Los AngelesEnvironment and Planning A: Economy and Space, 1986
- Principles of geographical information systems for land resources assessmentGeocarto International, 1986
- Smooth Pycnophylactic Interpolation for Geographical RegionsJournal of the American Statistical Association, 1979
- Regression Analysis When the Variance of the Dependent Variable is Proportional to the Square of its ExpectationJournal of the American Statistical Association, 1973
- Urban Population DensitiesJournal of the Royal Statistical Society. Series A (General), 1951