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Geostatistical approach of modelling of spatial-temporal data on an example of the impact of mining activities on Solivary deposit

机译:时空数据建模的地统计学方法,以采矿活动对胶质沉积物的影响为例

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The aim of the presented paper is to introduce with some techniques and results of the exploratory data analysis withingeostatistical framework. The study is based on a geodetic survey of a surface deformation above Pre?ov I – Solivary mining areaduring 1996 – 2007 on the basis of geodetic survey by a network of point constitute a survey station. The results of the exploratory dataanalysis should lead to a three dimensional spatial-temporal geostatistical model of impact of a mining activity on surface above it.Final model resulted in a series of two dimensional maps of selected geodynamic phenomenon for given time of the survey.The submitted paper presents the single steps of an analysis of spatial-temporal data with emphasis on study of the given variablesunder geostatistical concept as the regionalized variables and study of their stationary behaviour based on stationary hypothesis ofa random function. The paper shows how the input variables were prepared and first conditions for modelling were derived. The firstassumptions of stationarity in global scale for both variables were deduced from basic statistical analysis and data visualization inspatial-temporal dimensions. The study continues with theoretical description of the effect of drift on the experimental variogram andpractical examples with final thought concerning to the possibilities for following geostatistical estimation in scope of stationary or nonstationarygeostatistics.
机译:本文的目的是介绍一些具有统计统计框架的探索性数据分析技术和结果。该研究基于大地测量,即通过点网络组成的测量站进行的大地测量,对1996-2007年普雷夫一世–速溶矿区上方的地面变形进行了大地测量。探索性数据分析的结果将导致一个三维的时空地统计学模型,该模型对采矿活动对其上方地表的影响进行了最终的模型化,最终模型产生了在选定的调查时间内一系列选定的地球动力学现象的二维地图。提交的论文提出了时空数据分析的单一步骤,重点是研究以地统计学为基础的给定变量作为区域变量,并基于随机函数的平稳假设研究其平稳行为。本文说明了如何准备输入变量并推导了建模的第一条件。从基本统计分析和数据可视化的时空维度推导了这两个变量在全球范围内的平稳性的第一个假设。继续研究漂移对实验变异函数的影响的理论描述和实际示例,并最终考虑了在固定或非平稳地统计学范围内进行地统计学估计的可能性。

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