空間離散指標：舊觀念、新公式
Resource
臺灣地理資訊學刊 4: 1-12
Journal
臺灣地理資訊學刊
Pages
1-12
Date Issued
2006
Date
2006
Author(s)
翁培文
Abstract
One of the controversial issues ill studying a spatial phenomenon is whether its distribution pattern is aggregated or dispersed. Some of the indexes are based on spatial autocorrelation, such as Moran's I and Getis's G Some are not, such as Nearest Neighbor Index is calculated with nearest neighbor distance. However, all of them have some limitations. The present research tries to develop a new index: Spatial Dispersion Index (SDI), following the concept and formula of dispersion from statistics. Three principles of SDI are adhered to: the area of statistical unit, comparative area of surface features and distance to neighbor. The SDI formula is deduced from those three principles. This index can calculate point and polygon features. But the SDI maximum value and value distribution will change by case. Estimating whether the SDI represents an aggregative or dispersive phenomenon, the calculations are more complex than other indexes.
SDGs
Type
journal article
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