摘要(英) |
The Ocean is natural barrier in Taiwan Island, so external plants invade uneasily except drift, bird and carriage by human. Because of economical activities, Taiwan import in 1976 Leucaena leucocephala yielded in South American
Afterwards, low economical benefits as well as related lows which forbid cutting down plants randomly after establishing Kenting National park make Leucaena leucocephala in Heng-Chung area of southern Taiwan proliferate and then affect seriously the local ecology so that Leucaena leucocephala need monitor in order not to be damaged again.
In the research, the concept of Data Mining can explore information and knowledge in data which includes ground truth in 1996, buffer map of land use, buffer map of road, aspect, buffer map of land use, satellite image and NDVI. With CART, the research attempt to explore the distributions of Leucaena leucocephala and the rules of data, so as to forecast the range of distribution of Leucaena leucocephala of Heng-Chung area.
Three experimental tests include different Leucaena leucocephala dense level and amount of training set, noise reductions and SPOT images in order to explore the effects of prediction. The accuracy of experimental tests is about 80 percent. Therefore, CART can detect effectively the range of Leucaena leucocephala. |
參考文獻 |
王秀雯,2004。應用資料挖掘技術於交通事故傷亡嚴重程度之研究,嘉義大學,運輸與物流工程研究所碩士論文
白梅玲、李培芬、張琪如. 2000. 福山試驗林之景觀分類. 中華林學季刊 33(3):291-312
李培芬,2004。台灣的自然資源與生態資料庫-生物多樣性,台灣大學 生物多樣性研究中心。
呂福原 、陳民安,2002。 墾丁國家公園外來種植物對原生植群之影響 以銀合歡為例,保育研究報告第112號。
陳朝圳,2003。劣化生態系復育-外來樹種入侵對生態系之影響(銀合歡入侵調查),行政院農委會林務局委託研究計畫系列。
陳宏銘,2001。 設計最佳化之演化式模糊決策樹, 逢甲大學,資訊工程研究所碩士論文
賴明洲,1995。最新台灣園林觀賞植物名錄。地景企業股份有限公司 台灣台北 378頁
颺如思,2004。綠色之癌──外來入侵植物,台灣環境資訊協會專欄報導
Apte.C ,Sholom Weiss,1997,Data mining with decision trees and decision rules,Future Generation Computer System,pp.197-210
Feng.Qi ,A-X.Zhu ,2003, Knowledge discovery form soil maps using inductive learning , International Journal of Geographical Information Science ,Vol.17, No.8, pp.771-795
Han, Jiawei and Micheline Kamber (2001), Data Mining : Concepts and Techniques, John Wiley & Son.
Jourdan.L ,C.Dhaenens,E-G.Talbi,S.Gallins,2002,A data mining approach to discover genetic and environmental factors involed in multifactorial diseases,knowledge Base System,pp.235-242
Kuhnert.P.M ,Do.K.A ,McClure.R,2000,Combining non-parametric models with logistic regression :an application to motor vehicle injury data ,Computational Statistics & Data Analysis,34(3),pp.371-386.
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees(The Wadsworth Statistics/Probability Series). Belmont, CA: Wadsworth, 1984.
Li Deren ,k.DI,D.LI,2000,Land use classification of remote sensing image with gis data base on spatial data mining techniques,Internation Society for Photogrammetry and Remote Sensing 0256-1840
M.Ester,S.Gundlach,H.p.Kriegel,and J.Sander,2000,Spatial Data Mining,Database Primitives,Algorithms and Efficient DBMS Support,Data Mining and Knowledge Discover,Vol.4,pp.193-216
Margaret H.Dunham,2003,Data mining introductory and advanced topics,Pearson Education,Inc.
Nadjim C., K. Zeitouni and A. Boulmakoul, 2002. An decision tree for multi-layered spatial data. In Proceeding of 2002 International Symposium on Geospatial Theory, Processing and Application, Ottawa , Canada.
Qiang Ding, Qin Ding,and W.Perrizo,2002,Decision Tree Classification of Spatial Data Streams Using Peano Count Trees, Proceeding of ACM Symposium on Applied Computing , Madrid,Spain,pp.413-417
Shashi S., C.T. Lu, P. Zhang, and R. Liu, 2002, Data mining for selective visualization of large spatial datasets’, Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence, pp.41 - 48
Shashi S., C.T. Lu, S. Chawla, P. Zhang, 2001, Data Mining and Visualization of Twin-Cities Traffic Data, Dept. of Computer Science Technical Report TR 01-15, U. of Minnesota . |