title: Estimation of radon prone areas through binary classification, part 2: radon prone geologies.
abstract: A radon prone geology is one for which the probability is increased that in a house built on it, elevated indoor Rn concentration will be encountered, or that its Rn potential will be increased. Labelling geological units as Rn prone or not can be an important support in deciding whether a geographical or administrative region in which that geological unit occurs, should be called Rn prone area, possibly in absence of other predictors. In this article a method is proposed which, given a set of geological classes, sorts the classes into Rn prone and non-Rn prone classes depending on a classification criterion which one can choose according the purpose. The method is computationally simple and is demonstrated on the example of Germany.
authors.affiliation: German Federal Office for Radiation Protection, Köpenicker Allee 120-130, 10318 Berlin, Germany. Electronic address: pbossew@bfs.de.
authors.forename: P
authors.initials: P
authors.lastname: Bossew
mesh_terms: D000396:Air Pollutants, Radioactive / Q000032:analysis*; D055593:Geological Phenomena; D005858:Germany; D012372:ROC Curve; D011834:Radiation Monitoring / Q000379:methods*; D011886:Radon / Q000032:analysis*; D012990:Soil Pollutants, Radioactive / Q000032:analysis*; D062206:Spatial Analysis; D018709:Statistics, Nonparametric
chemical_list: D000396:Air Pollutants, Radioactive; D012990:Soil Pollutants, Radioactive; D011886:Radon
keywords: Binary classification; Radon mapping; Radon prone geology