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Welcome to the Mineral of Mineral Exploration |
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THE TECHNOLOGY BEHIND THE SPATIAL-TEMPORAL EARTH PATTERN Pattern recognition is an integral part of geology. Field geologists are constantly reminded they are working with self-similar patterns when they include in their field photographs essential scaling references such as coins, hammers, and people. So what is a self-similar pattern? A geometrical pattern is self-similar if part of it looks like the whole at a suitable enlargement. Most people are familiar with Russian Dolls where there is a small doll inside a slightly larger doll, which in turn is inside an even larger doll - this is a self-similar pattern. Each doll is an iteration of the overall pattern. The Spatial-Temporal Earth Pattern is of this type. Research carried out by Metal Mine Finders has discovered ten iterations with distinct sizes and varying, self-similar geometries - these comprise The Spatial-Temporal Earth Pattern. However, there is evidence for other iterations. On-going research is defining these. The patterns are recognized using various techniques from the more avant-garde, such as wavelet transforms, morphological analysis, and neural networks to the more traditional statistical/probabilistic approaches. An algorithmic approach to pattern recognition has proven especially useful. However, most pattern recognition algorithms require the user to specify a whole range of parameters for the algorithm to function properly. This can lead to totally biased and erroneous results. It became apparent that algorithms with minimal input from the user and with the most broad-spectrum, universal approach are most likely to give meaningful and repeatable results. Such an algorithm has been created. The various geometries and the different sizes of the patterns, used in combination, allow the prediction of the most likely location of metal ore deposits. Small deposits have a relationship to these patterns that is distinct and differs from that observed for giant metal deposits. The giants have a unique relationship with the Spatial-Temporal Earth Patterns. Broken Hill Australia Presentation
Chaos theory and nonlinear dynamics explain the genesis of these patterns. The following quote reveals the relationship between the Spatial-Temporal Earth Pattern and Nonlinear Science: "Since the middle of the 1980s, a new paradigm – the emergent coherent structure – has become established in most areas of applied science. No longer is one surprised to find spatially localized regions of energy or activity that are stable in time, possessing the essential properties of objects. Perhaps the most important implication of the new paradigm is that coherent structures must be treated as independent dynamic entities. Each emergent structure has its own regularities of propagation and interaction, which must be respected." Alwyn Scott, Nonlinear Science, Oxford Press, 2003, page 21-22 |