A Geostatistical Approach to Linking Geographically Aggregated Data From Different Sources
Authors:
- 1 March 2007
- journal article
- Published by Taylor & Francis in Journal of Computational and Graphical Statistics
- Vol. 16 (1) , 115-135
Abstract
The widespread availability of digital spatial data and the capabilities of Geographic Information Systems (GIS) make it possible to easily synthesize spatial data from a variety of sources. More o...Keywords
This publication has 16 references indexed in Scilit:
- Modeling Spatial Variation in Disease RiskJournal of the American Statistical Association, 2002
- Combining Incompatible Spatial DataJournal of the American Statistical Association, 2002
- Fast, Resolution-Consistent Spatial Prediction of Global Processes From Satellite DataJournal of Computational and Graphical Statistics, 2002
- On the change of support problem for spatio-temporal dataBiostatistics, 2001
- Estimating Dependencies from Spatial AveragesJournal of Computational and Graphical Statistics, 1998
- A Latent Process Regression Model for Spatially Correlated Count Data1997
- Examples of Scientific Problems and Data Analyses in Demography, Neurophysiology, and SeismologyJournal of Computational and Graphical Statistics, 1994
- Developments in areal interpolation methods and GISThe Annals of Regional Science, 1992
- The Generation of Spatial Population Distributions from Census Centroid DataEnvironment and Planning A: Economy and Space, 1989
- Fitting variogram models by weighted least squaresMathematical Geology, 1985