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150                                                             Chapter 6

             TABLE 6-I

             Means of different orders of neighbour distances in the point pattern of occurrences of epithermal
             Au deposits in Aroroy district (Philippines).

                                     Mean of measured        Mean of expected
             Order of neighbour distances
                                     distances (m)           distances (m) in CSR
                   1 st                   992.2                   966.6
                   2 nd                  1880.3                  1449.9
                   3 rd                  2249.9                  1812.3
                   4 th                  2660.9                  2114.3
                   5 th                  3222.0                  2378.8
                   6 th                  3765.6                  2616.5


             assume a regular distribution. Boots and Getis (1988) aver that the choice of how many
             orders of neighbour distances to examine depends on the point pattern being studied.
                                               th
             Here, the choice of examining up to the 6 -order neighbour distances is arbitrary, but is
             based on the assumption that unknown (or undiscovered) occurrences of mineral
             deposits of the type sought are located close to the known occurrences. Note that the
                                 th
             mean of the measured 6 -order neighbour distances (about 4 km) is not an unrealistic
             search  radius  from a known  mineral deposit occurrence within which to explore for
             undiscovered  occurrences  of the same type of mineral deposit. Determining the
             statistical significance of the results is also considered here to be inappropriate because
             the boundary of the study area is arbitrary (i.e., geologically non-real) and occurrences of
             epithermal Au deposits outside the study  area are thus  excluded from the analysis.
             Nevertheless, the results suggest that individual occurrences of epithermal Au deposits in
             the study area were formed by an inter-play of  geological features that ‘circulated’
             mineralising hydrothermal fluids into certain localities. This generalisation is discussed
             later in the synthesis  of results from this  analysis and  the results of  fractal and  Fry
             analyses that follow below.
                In contrast with measures of dispersion, measures of arrangement study the locations
             of points in a pattern with respect to each other. Measures of arrangement are useful
             when the actual boundary of a study area is unknown or difficult to define or if it is not
             necessary to impose an arbitrary boundary. In measures of arrangement, the observed
             number of reflexive (or reciprocal) nearest neighbour (RNN) points is compared with the
             expected number of RNNs in a situation of CSR. The CSR is simulated for the same area
                                                                st
             and the same  number of points. Two points are considered 1 -order RNN if they are
                                                                        nd
             each other’s nearest neighbour in a neighbourhood of points, whereas 2 -order RNNs
                                       nd
             are points that are each other’s 2 -nearest neighbours in a neighbourhood of points, and
                                                                  st
             so on (Boots and Getis, 1988). In the study area, there are eight 1 -order RNNs (Fig. 6-
             2). RNNs are always pairs of points, so that the observed number of RNNs is always an
                                               th
             even  number. The  expected number of  j -order RNNs is estimated according to the
                                                                             th
                                                th
             probability that a point in CSR is the  j -nearest neighbour of  its  own  j -nearest
                                                                      th
             neighbour (see Cox (1981) for details).  If the  observed number of  j -order RNNs is
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