The present volume contains contributions of internationally renowned authors to the theme of interfacing between geostatistics, geoinformation systems and spatial data base management systems. Although some progress has been made toward interfacing, there is still only little overlap between the different communities. The present volume is intended to provide a bridge between specialists working in these areas. The volume first surveys new methodological developments in geostatistics, and then reports on applications in traditional areas of geo-and environmental sciences and novel applications such as traffic and entrepreneurship data modeling. Finally, successful approaches to the integration of different types of agricultural, biomedical and epidemiological information systems with GIS and spatial statistics software systems are documented
Jürgen Pilz Knihy


Presents a clear treatment of the design and analysis of linear regression experiments in the presence of prior knowledge about the model parameters. Develops a unified approach to estimation and design; provides a Bayesian alternative to the least squares estimator; and indicates methods for the construction of optimal designs for the Bayes estimator. Material is also applicable to some well-known estimators using prior knowledge that is not available in the form of a prior distribution for the model parameters; such as mixed linear, minimax linear and ridge-type estimators.