This paper puts forward some methods for using soil regional geochemical data to soil quality assessment, anomaly genesis identification and soil contamination grade assessment.

With these foundations, a set of anomaly recognition methods is proposed, which is supported by statistics, fractal geometry, artificial neural network and computer technique.

To extract the thermal infrared(TIR) anomaly information related to the tectonic activities from remote sensing data,a new pre-earthquake TIR anomaly recognition method and quantitative analysis model based on reference field are presented.

The study of metallogenic anomaly identification based on deep soil data with multifractal method——A case study of Cu element in Tongling ore clustering area

In this paper,the author shows solving process of two characteristic lines and analyzes its corresponding significance of geology and geophysics and describes results for anomaly identification through a model and a field examples.

Checking Quality and Identifying Outliers of Multidimensional Statistics by Means of Logarithm Normal Distribution;