Comparison of Interpolation Methods for the Study of Forest Variables Using a Geographic Information System
Comparison of Interpolation Methods for the Study of Forest Variables Using a Geographic Information System作者机构：Technical University of Madrid Madrid 28040 Spain
出 版 物：《Journal of Agricultural Science and Technology(B)》 (农业科学与技术（B）)
年 卷 期：2011年第1卷第3期
页 面：428-436页
学科分类：081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 080203[工学-机械设计及理论] 070503[理学-地图学与地理信息系统] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 0802[工学-机械工程]
主 题：GIS tools interpolation methods spatial data models geostatistical techniques.
摘 要：Interpolation methods in ArcGIS_ESRI Geostatistical Analyst tool allow obtaining unknown values at unsampled points from observed data and generating continuous surfaces. In this paper, forest data variables as tree height and diameter measured in two plots in Central Mountains in Spain. These data were georeferenced to obtain maps that can visualize the spatial variability of these forest variables. In order to evaluate the best interpolation method that could adequately explain the spatial variability of those variables, two interpolation methods were studied： inverse results was made by means of statistical methods to analyze distance weighted （IDW） and Ordinary Kriging （OK）. A comparison of residuals. Results with the kriging method were slightly better.
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