What can we learn from statistical analysis of geo-systems—an introduction to a research-oriented GI

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It is known that many geo-systems,such as streams,faults and earthquake hypocenters,show complexities on all scales leading to the features of self-similarity,or in other words,scale invariance.On the other hand,breaking of scale invariance occurs in some systems and results in hierarchical structures.Up to now,many studies have been limited to the quantitative description the complexities,but the origins of the scale invariance are still poorly understood.An important issue remained is to promote the evolution from descriptive to the beginning of understanding.The interaction between different systems plays very important roles.Hence integrated analysis of different geo-systems may provide information for an improved understanding of characteristics of different geo-systems.As an output of studies,the author is engaged for a long time in the development of a research-oriented application family "GeoTaos".GeoTaos are platforms for integrating numerous build-in and plug-in programs which are developed by scientists and for scientists and are still growing day by day.GeoTaos_map,one of the major platforms,has gathered many computing tools for data processing of various types of geoscience data.The interactive interfaces,build-in and plug-in programs provide easy ways for GIS-base morphometric analysis and modeling, numerical simulation,uncertainty analysis,calculation of Coulomb stress from fault slip,surface loading and earth tides,and so on.GeoTaos_map is particularly advanced in statistical tests for examining possible correlations between different systems and Geo-events.Except some plug-ins that are developed by other scientists,GeoTaos are developed under the Object-Oriented Programming technology and written in C++ with a consideration of the ideas of Taoism for facilitating further development.Any new result or idea can be incorporated and tested quickly.
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