Integrating geophysical data sets using probabilistic methods
Abstract. Interpretation of geophysical data is greatly aided by the combined analysis of data from diverse sources. Probability theory provides a general framework for integrating geophysical data sets. We discuss the application of joint and conditional probability density functions (PDF) to the detection of anomalies and the prediction and interpolation of geo-variables. Density estimation techniques are discussed and illustrated on a geophysical data set from West Africa consisting of magnetic, elevation, and radiometric data.