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研究生:葉偉珉
研究生(外文):Wei-Ming Yeh
論文名稱:空間函數型資料方法在物種相似度分析的應用
論文名稱(外文):Analysis of Species by Similarity Spatial Functional Data Approach
指導教授:黃文瀚黃文瀚引用關係陳律閎
指導教授(外文):Wen-Han HwangLu-Hung Chen
口試委員:江其衽
口試日期:2016-07-22
學位類別:碩士
校院名稱:國立中興大學
系所名稱:統計學研究所
學門:數學及統計學門
學類:統計學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:45
中文關鍵詞:函數型資料分析函數型主成份分析局部多項式迴歸函數型主成份分數
外文關鍵詞:Functional Data AnalysisFunctional Principal Components AnalysisLocal Polynomial RegressionFunctional Principal Component Score.
相關次數:
  • 被引用被引用:0
  • 點閱點閱:180
  • 評分評分:
  • 下載下載:19
  • 收藏至我的研究室書目清單書目收藏:1
物種相似度分析為生物與生態學的重要工具。目前文獻上的物種相似度指
摽大多依據物種的數量或豐富度來定義。考慮到物種的相似性或與其在空間
上分布之特徵有關,本文利用函數型主成份分析提出新的相似度指標。

Measures of species diversity play an important role in biology and ecology.
The most commonly employed measures of species diversity are richness and
number of species. In this paper we defined a new species with regard to spatial
distribution by using Functional Principal Component Analysis (FPCA).

1. 緒論 1
2. 文獻回顧 4
2.1. 物種相似性. . . . . . 4
2.2. 局部多項式. . . . . . 5
2.3. 函數型主成份分析. . . 6
3. 函數型主成份分析之物種相似性 7
3.1. 局部多項式迴歸. . . . . . 7
3.2. 函數型主成份分析. . . . . 10
4. 種類分群 14
4.1. K-means 分群法. . . . . . 14
4.2. Hierarchical 分群法. . . .15
5. BCI 資料分析 16
5.1. 資料分析. . . . . . . . . 16
5.2. 物種相似性指標. . . . . . 22
5.3. Hierarchical 分群法結果. . . . 25
5.4. K-means 分群結果. . . . . . 37
6. 結論與建議 43


[ 1 ]Bray, J. R. and Curtis. J. T. 1957. An ordination of upland forest communities of southern Wisconsin. Ecological Monographs 27:325-349.

[ 2 ]Chen Lu-Hung and Jiang Ci-Ren.(2015), Multi-dimensional Functional Principal Component Analysis.

[ 3 ]Fan, J., and Gijbels, I. (1996), Local Polynomial Modelling and Its Applications.London : Chapmanand Hall.

[ 4 ]Gasser, T. and H.-G. Muller (1984). Estimating regression functions and
their derivatives by the kernel method. Scandinavian Journal of Statistics
11(3), 171–185

[ 5 ]Hotelling, Harold, 1933. Analysis of a Complex of Statistical Variables into
Principal Components. Journal of Educational Psychology, 24(6 & 7),417–
441 & 498–520.

[ 6 ]Lennon, J.J., Koleff, P., Greenwood, J.J.D. & Gaston, K.J. (2001) .The geographical structure of British bird distributions: diversity, spatial turnover
and scale. 70, 966–979. Journal of Animal Ecology, 24(6 & 7),417–441 &498–520.

[ 7 ]Jaccard, P. (1908), Nouvelles researchers sur la distribution florale. Bull.
Soc.Vaudoise Sci. Nat. 44, 223-292 .

[ 8 ]Matthew Avery. ”Literature Review for Local Polynomial Regression.” Ncsu.Edu,(1996):1–23.

[ 9 ]Nadaraya, E. A. (1964). On estimating regression. Theory of Probability and its Applications 9(1),141–142.

[ 10 ]Ochiai, A. (1957). Zoogeographic studies on the soleoid fishes found in Japan and its neighbouring regions. Bull. Jpn. Soc. Sci. Fish. 22:526-530.

[ 11 ]Pearson, K. (1901), On Lines and Planes of Closest Fit to Systems of Points in Space. Philosophical Magazine, 2 (6): 559–572.

[ 12 ]Rice, J.and Silverman, B. (1991), Estimating the Mean and Covariance Structure Nonparametrically When the Data Are Curves. Journal of the Royal
Statistical Society:Ser:B; 243.

[ 13 ]Sorensen, T. (1948), A method of establishing groups of equal amplitude
in plant sociology based on similarity of species content. Kongelige Danske
Videnskabernes Selskab. Biologiske Skrifter. 4: 1–34.

[ 14 ]Yao, F., H. G. Müller, and J. L. Wang (2005a). Functional data analysis for sparse longitudinal data. Journal of American Statistical Association 100; 577- 590.


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