Geographic Information Systems in Soil Organic Matter Content Analysis

被引：0

作者：

Li, Jie ^{[1
]}

Zhang, Lei ^{[2
]}

Sun, Cui-yu ^{[2
]}

Li, Feng ^{[2
]}

Zhou, Xing-hua ^{[1
,2
]}

机构：

[1] SOA, Inst Oceanog 1, Qingdao 266061, Shandong, Peoples R China

[2] Shangdong Univ Sci & Technol, Qingdao 266510, Shandong, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL VI | 2011年

关键词：

geo-statistics; GIS; Kriging method;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We studied the kiwifruit growing soil nutrient in Zhouzhi County of Shanxi Province. We used different Kriging interpolation methods provided by ArcGIS to identify the best way to analyze soil nutrients. The results show that almost all the Kriging methods could reflect organic percentage and the universal kriging method will have more accuracy than others which makes it the fittest method for this space continuous issue on the soil nutrient.

引用

页码：262 / 265

页数：4

共 9 条

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