Page 144 - Statistics and Data Analysis in Geology
P. 144

Spatial Analysis



























             Figure 5-13.  Map showing location and direction  of 51 measurements of glacial striations
                   in a  35-km2 area of southern  Finland.

                               Table 5-4.  Vector directions of glacial striations
                              measured in an  area of southern  Finland; measure-
                                 ments given in degrees clockwise from  north.

                                      23   105    127    144   171
                                      27   113    127    145   172
                                      53   113    128    145   179
                                      58   114    128    146   181
                                      64   117    129    153   186
                                      83   121    132    155   190
                                      85   123    132    155   212
                                      88   125    132    155
                                      93   126    134    157
                                      99   126    135    163
                                     100   126    137    165



                 If we define a radius for a sector of  a rose diagram that represents either one
             observation, or 1%, we can easily calculate the appropriate radii that represent any
             number of observations or relative frequencies,


                                              Yf = Yufi                            (5.38)
             where r, is the unit radius representing one observation or 1%, f is the frequency
              (in counts or percent) of  observations within a class, and yf is the radius of  the
              class sector. In other words, the radius should be proportional to the square root
              of  the frequency rather than to the frequency itself.
                  Rose diagrams, even if properly scaled, suffer from the same problems as or-
              dinary histograms; their appearance is extremely sensitive to the choice of  class
             widths  and  starting point  and  they  exhibit variations  similar  to  the  histogram

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