Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/84768
標題: 水里溪上游集水區檳榔園熱點空間分析之研究
The Spatial Analysis of Betel Nut Plantation Hot Spots in the Upper Shui-Li Creek Watershed
作者: 葉春國
莊永忠
廖學誠
Chun-Kuo Yeh
Yung-Chung Chuang
Shyue-Cherng Liaw
關鍵字: 空間自相關;熱點;檳榔園;集水區經營;Spatial autocorrelation;hot spots;betel nut plantations;watershed management
出版社: 台北市:中華水土保持學會
Project: 中華水土保持學報, Volume 44, Issue 3, Page(s) 202-214.
摘要: 
This study investigated the spatial distribution of BNP hot spots in the upper
Shui-Li Creek watershed. Two spatial autocorrelation methods, Moran’s I and G statistics, were selected
for analyzing the spatial cluster of BNPs with different grid sizes. The results show that spatial
autocorrelation analysis can indeed discover BNP hot spots in this watershed. The strength and significance
of spatial dependence can be easily compared and monitored. For the global spatial autocorrelation
analysis, both Moran’s I and G statistics values are positive with whole different grid sizes
and statistically significant (p<0.05). This means that the BNPs in study areas obviously have the
characteristics of positive spatial autocorrelation. Furthermore, with the increase of the grid size, the
value of Moran’s I decreases, but the value of G statistics increases.

本研究調查水里溪上游集水區中檳榔園熱點的空間分佈,藉由Moran’s I 及G statistics
空間自相關方法,識別出在不同網格大小下檳榔園的空間聚集情況。結果顯示,空間自相關分
析方法確實能識別出研究區內的檳榔園熱點,且空間相依性的強度及顯著性可以容易地被比較
及驗證。在全域空間自相關分析部分,Moran’s I 與G statistics 係數二者在不同網格尺寸下皆呈
現正值,且達統計顯著性 (p<0.05),表示檳榔園區塊具有空間正相關。此外,隨著網格尺寸愈
大,Moran’s I 係數值呈現遞減,而G statistics 係數值則呈現出遞增。
URI: http://hdl.handle.net/11455/84768
Appears in Collections:第44卷 第03期

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