Page 179 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
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180                                                             Chapter 6

             statistical significance of spatial association between point geo-objects of interest and
             linear (or point) features. In addition, the results shown in Tables 6-III to 6-VI indicate
             that the distance correlation method is sensitive to the position of an AP with respect to
             line segments ⊥L i, so that not just one but at least nine APs are recommended in order to
             properly characterise the  optimum spatial association  between  P jx and  L i. This is
             demonstrated further with the analysis of the spatial association between the centroids of
             mapped units of Nabongsoran Andesite porphyry and intersections of NNW- and NW-
             trending faults/fractures in the case study area.
                There are very few (i.e., four) mapped units of Nabongsoran Andesite and they are
             situated only in the southwest quadrant of the study area (see Fig. 3-9). The distances
             between each centroid and its nearest neighbour intersection of NNW- and NW-trending
             faults/fractures vary from 230 to 700 m, with a mean of 460 m and standard deviation of
             205 m. The length of each line segment ⊥L i, which passes through each of the centroids
             starting from their respective nearest neighbour intersection of NNW- and NW-trending
             faults/fractures, is set at 1200 m. The results of the analyses based on each of the nine
             recommended APs are illustrated in Fig. 6-15. The north, northeast and southwest APs
             resulted in ‘flat’ graphs  of  r d  jx  d  jy   versus  Y j  (Figs. 6-15B, 6-15C and  6-15G,
             respectively), although peak values of  r d  jx d  jy   at 800 m can be observed if the
             resolutions of the  y-axes of  these graphs are enhanced.  The southeast and  west  APs
             resulted in downward-concave graphs of  r d  jx d  jy   versus Y j with peak values of  r d  jx d  jy
             at 1000 m and 900 m, respectively (Figs. 6-15E and 6-15H, respectively). These results
             are unsatisfactory because the distances Y jmax r obtained are well beyond the maximum
             X j (i.e., 700 m). Nevertheless, the results obtained based on the centre, east, south and
             northwest  APs (Figs.  6-15A, 6-15D, 6-15F and  6-15I,  respectively) are satisfactory,
             because they clearly show downward-concave graphs of  r d  jx d  jy   versus Y j with peak

             values of  r d  jx d  jy   mostly at 700 m.
                The  factors for the  unsatisfactory results obtained based on the  north, northeast,
             southwest, southwest and west APs and the satisfactory results obtained based on the
             centre, east, south and northwest APs are given in Table 6-VII. Satisfactory results are
             obtained when an AP forms intermediate angles (i.e., mostly between 30º and 60º) with
             ⊥L i and when the distances (d jy) between  an  AP and every point  P jy along  ⊥L i have
             relatively high coefficients of variation (i.e., ratio of standard deviation to mean). Note
             that both of these two factors apply to the north AP, which forms angles with every ⊥L i
             similar to that formed by the centre AP although distances (d jy) from the former to points
             P jy along line  segments ⊥L i  have relatively low coefficients  of  variation compared to
             distances from the former. Note further that APs forming, on average,  low angles (<20°)
             with ⊥L i result in ‘flat’ graphs of  r d  jx d  jy   versus Y j, whereas APs forming, on average,

             high angles (>63°) with ⊥L i result in over-estimation of Y jmax r.
                Based on the results shown in Fig. 6-15 and summarised in Table 6-VIII for the APs
             providing the satisfactory results, there is positive spatial association between the four
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