Spatial Data Interpolation and 3D Visualization System
Abstract: Researchers use geophysical prospecting to measure different geological quantities. The measurements and derived data are generally recorded as numerical values with the location of the prospecting points. The large number of numerical values often makes researchers lost in numbers and be not able to discover the relationship among physical and derived measurements. If the values can be visualized graphically and analyzed with different graphics methods, the user can more easily understand the distribution of prospecting data and analyze the relationship among values. Therefore, a visualization system is designed in this study and is applied to delineate and analyze the realistic data sets, including the geothermal data set of Taiwan, the resistivity data set of Qing-Shui, and the resistivity data set of Xiao-Lin. Spatial interpolation functions such as inverse distance, nearest neighbor, and Kriging are provided in the system to generate a regular and structured grid representation from scattered measurements. Then a set of graphical visualization functions are equipped to let researchers easily analyze the relationship among numbers.
文章引用: 陈光奕 , 黄亮轩 , 廖培成 , 赖佑吉 , 张并瑜 (2013) 整合空间数据反演算与三维可视化系统。 地球科学前沿， 3， 57-63. doi: 10.12677/AG.2013.31009
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