Simulation of precipitation variations in Iran using Kriging interpolation methods
نویسندگان
چکیده
منابع مشابه
Kriging for interpolation in random simulation
Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging. This technique was originally developed in geostatistics by D. G. Krige, and has recently been widely applied in deterministic simulation. This paper, however, focuses on random or stochastic simulation. ...
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Acknowledgements Now that I become closer and closer to the end of this adventure, I would like to deeply thank some people who helped me — in different ways and at different stages of my PhD — to achieve this goal. First of all, I want to thank my advisors: Carlo Meloni, for having introduced me to the fascinating world of research, for his being always so supportive to me, and for his willing...
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This paper applies a novel Kriging model to the interpolation of stochastic simulation with high computational expense. The novel Kriging model is developed by using Taylor expansion to construct a drift function for Kriging, thus named Taylor Kriging. The interpolation capability of Taylor Kriging for stochastic simulation is empirically compared with those of Simple Kriging and Ordinary Krigi...
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The basis of climatic data is measurements taken at a predetermined chronological order at air monitoring stations, so all measured values of climatic elements can only be attributed to the point of measurement. Therefore, different interpolation methods can help a lot in estimating climate data in different places. The study area in this study is northeastern Iran, including the provinces...
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ژورنال
عنوان ژورنال: International Journal of Physical Sciences
سال: 2017
ISSN: 1992-1950
DOI: 10.5897/ijps2017.4653