By John C. Griffiths (auth.), Daniel F. Merriam (eds.)
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Extra info for Computer Applications in the Earth Sciences: An Update of the 70s
In fact, this procedure is close to a conventional geological practice of which the objective is to attempt to identify target areas that duplicate as much as possible with the available data the areas in which deposits are known. Other geologists with knowledge of the same area generally would appreciate that 48 AGTERBERG any geometrical configuration proposed in the absence of sufficient control remains hypothetical and does not represent necessarily the exact true which is unknow. It is, however, difficult to transmit this type of uncertainty to nongeologists.
MULTIPLE REGRESSION LOGISTIC MODEL ~ c z c u ;: ~I TWO-STAGE REGRESSION ~I CHARACTERISTIC ANALYSIS -i l POISSON REGRESSION ~ ~ 0 I it Figure 1. ~ MONTE CARLO SIMULATION SUBJECTIVE PROBABILITIES 1 CRUSTAL ABUNDANCE MODELS IGEOMETRICAL
121-140. , Classification of soils and sedimentary rocks: Proc. Symp. Dept. of Land Resource Science, Center for Resources Development, Univ. Guelph, p. 123-146. , The impact of quantification on geology: Syracuse Univ. Geol. Contr. 2, p. 83-101. , 1978, Mineral resource assessment using the unit regional value concept: Jour. Math. Geology, v. 10, no. 5, p. 441-472. , Computer applications in the earth sciences: Plenum Press, New York, p. 73-97. , New York, 777 p. , New Jersey, 487 p. , 1948, The megascopic study and field classification of sedimentary rocks: Jour.
Computer Applications in the Earth Sciences: An Update of the 70s by John C. Griffiths (auth.), Daniel F. Merriam (eds.)