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比較正方形、三角形網格與空間模擬退火法採樣佈點尋找圓形目標之效率

Relative Efficiencies of Square, Triangular Grids and SSA Sampling Design in the Search for Round Shaped Targets

摘要


本文探討採樣策略在搜尋污染場址中高污染區之能力。文中應用空間分析的方式,進行採樣配置的高污染之能力。文中應用空間分析的方式,進行採樣策略在搜尋污染場址中高污染區之能力。本研究的結果指出空間模擬退火佈點法,在搜尋污染場址之高污染區方面確實比綱格式佈點法更優良,在相同的條件下,相同的採樣密度和同一污染場址,模擬退火佈點法比綱格式佈點法有較低的錯失率。

並列摘要


In this paper, objective of sampling is to determine where ”hot spots” are present. Spatial analysis method is presented to assess the capability of searching for hot spots of sampling strategy, includes Spatial Simulated Annealing (SSA) and grid sampling strategy. The results indicate the Spatial Simulated Annealing is better than grid sampling design when searching for hot spots. Grid sampling design has the higher miss rate than Spatial Simulated Annealing when deal with the same pollution site with same sampling density.

被引用紀錄


鄭百佑(2006)。應用地理統計及空間尺度轉換於污染地區特徵分析與台灣地區重金屬污染場址復育驗收準則探討〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2006.02320
陳志豪(2005)。土壤污染調查之採樣策略研究〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2005.01389

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