By William R. Green
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The usual implementation of a scanning procedure using comparison to adjacent samples is to have the computer identify potential errors, but to leave the decision on whether to accept, delete, or correct the data values in question up to a skilled person. CHARACTERISTICS OF SPATIAL DATA The fundamental common feature of all methods of exploration is they collect spatial data, that is, information which is associated with some fixed location in space. In many cases the relationship is twodimensional, usually being position on the Earth's surface.
In theory, all original data might have some bearing on the estimated grid value; but using all data in gridding is a practical impossibility even with today's fastest computers. In reality, the contributions of distant points are so small that ignoring them makes no real difference. ) Characteristics of Spatial Data 3 3 Although the actual calculation of each grid point value may be different, most gridding programs have many common features. First, they must search through the input data to find a set of nearby points to use.
Geochemical surveys have some unique problems that make this assumption questionable, at least within the practical limits of what can AQ 5 0 Geochemical Data Analysis be achieved in the field. Perhaps more than with any other type of data, the uncertainties inherent in the sampling and measurement procedures must be acknowledged in making an interpretation. The first thing to keep in mind about geochemical data is that the values generally represent minute fractions of the total sample. Depending on the element, typical background levels may range from a few parts per billion to a few parts per million.