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運用有限混合分佈模式於北投關渡地區土壤重金屬污染空間變異分析

Use of Finite Mixture Model to Analyze the Variability of Heavy Metal Pollution Characteristics in Peitou Guandu Area

Abstracts


對於樣本數據的解釋與運用,統計方法是一個可以提供我們使用的工具,近年來GIS的發展更使得統計方法結合空間關係的能力更進一步,有限混合分佈理論模式,具有非監督式客觀對數據進行分群的能力,再配合空間分析,可以得到數據背後隱含的成因或者特性,可以有效提高數據的價值,本文利用有限混合分佈模式(Finite Mixture Model, FMM)區別北投關渡地區土壤重金屬污染來源的特徵。

Parallel abstracts


Statistical method is a tool with which we can use to explain and employ the sample data. In recent years, the development of GIS has made the improvement of combination of statistical methods and spatial relationship. Finite Mixture Model (FMM) has the ability to classify objectively the data by unsupervised learning. Then cooperating with spatial analysis, we can get implicit causes and characteristics of data to increase efficiently the data value. In this paper, Finite Mixture Model was used to classify heavy metal pollution source characteristics in the Peitou Guandu Area.

Parallel keywords

Finite Mixture Model Heavy Metal Soil Pollution

References


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