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The ability to comprehend the intricate dynamics of the earth systems necessitates an objective understanding of complex observational data sets and their interrelationships. However, drawing meaningful conclusions from such data is not always a straightforward task, as the deterministic relationships between various geological variables are often obscured. To ascertain these relationships, it is essential to engage in empirical analysis of extensive data sets and validate the results through numerical simulations. The expanding range of numerical analysis and simulation techniques now provides an array of tools to aid interpretation. Nonetheless, the inherent complexity of earth science data necessitates the guidance of experts at every stage of the analysis, from data collection to dissemination, to ensure that the appropriate methodology is employed and the findings align with geological principles.
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1. Active deformation in the Darjiling-Sikkim Himalaya based on 2000-2004 geodetic global positioning system measurements. 2. Preliminary results of a study of crustal deformation in the Himalayan Frontal zone in North Bengal using GPS Geodesy. 3. Spatial and temporal variations of the strain fields in orogenic belts: an analysis based on kinematic models. 4. Grain size distribution patterns of some rivers in the light of three model distributions. 5. Estimation of shape changes of skull roof bones in Benthosuchus Sushkini, a Temnospondyl amphibian from the Triassic of Russia. 6. Spatial mathematical models for mineral potential mapping. 7. Enterprise GIS in Geological Survey of India.