Page 127 - Statistics and Data Analysis in Geology
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Statistics and Data Analysis in Geology - Chapter 5
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                                   d                         e

             Figure 5-4.  Some possible patterns of points on maps.  Each map contains 56 points.  (a)
                   Points  regularly  spaced on a  face-centered  hexagonal grid  or  network.  Every point
                   is equidistant  from six other  points.  (b) Points regularly arranged on a  square grid.
                   (c)  Sets  of  four  points  placed  randomly  within  each  cell  of  a  regular  4  x  4  grid.
                   The bottom row contains only two points per cell.  (d) Points located by a  bivariate
                   uniform random  process.  (e) Nonuniform  pattern of points produced by logarithmic
                   scaling of the X-axis.  (f) Points  located by randomly  placing seven cluster centers
                   (black  points)  and moving eight points a  random direction and logarithmically scaled
                   distance from each center.
                 A uniform density of data points is important in many types of analysis, includ-
             ing trend-surface methods which we will discuss later.  The reliability of  contour
             maps is directly dependent upon the total density of  control points as well as their
             uniformity of  distribution. However, most geologic researchers have been content
             with qualitative judgments of the adequacy and representativeness of the distribu-
             tion of their data. Even though the desirability of a uniform density of observations
             is often cited, the degree of uniformity is seldom measured. The tests necessary to
             determine uniformity are very simple, and it is unfortunate that many geologists
             seem unaware of them. These tests are, however, extensively used by geographers.
             Haggett, Cliff, and Frey (1977); Getis and Boots (1978); Cliff and Ord (1981); and
             Bailey and Gatrell(l995) provide an introduction to this literature.
             Uniform density

             .A map  area may be  divided into a number  of  equal-sized subareas (sometimes
             called quadrats) such that each subarea contains a number of  points.  If  the data
             points are distributed uniformly, we expect each subarea to contain the same num-
             ber of points. This hypothesis of no difference in the number of points per subarea
             (:an  be tested using a x2 method, and is theoretically independent of  the shape or

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