TITLE:
Geostatistical Analysis of Soil Nutrients Based on GIS and Geostatistics in the Typical Plain and Hilly-Ground Area of Zhongxiang, Hubei Province
AUTHORS:
Yangbo Xu, Donglin Dong, Guobin Duan, Xuetao Yu, Zhiwei Yu, Wei Huang
KEYWORDS:
Zhongxiang; Soil Nutrients; Geostatistical Analysis; Geostatistics; GIS; GS+; SPSS
JOURNAL NAME:
Open Journal of Soil Science,
Vol.3 No.5,
August
29,
2013
ABSTRACT: Techniques of geostatistics are used
to perform traditional statistical analysis and spatial structural analysis
with ArcGIS, geostatistical software GS+ and statistical software SPSS in order
to obtain the knowledge of characteristics of distribution and spatial
variability of soil nutrients in different parts of Zhongxiang, Hubei Province.
Some skewed values appeared during the analyses. To decrease the influence of
those skewed values, domain processing and Box-Cox transformation were used.
The results indicated spatial variability of Total N, Avail. P, rapidly-available
potassium (R-Avail. K) and effective zinc (Effect. Zn) was strong, that of
organic carbon (Org.
C), effective molybdenum (Effect. Mo) and effective copper (Effect. Cu) was
medium while that of others was weak. Fitted model of Total N, R-Avail. K and Effect.
Mo was spherical model, that of Org. C and Effect. Zn was exponential model,
while fitted model of Avail. P and Effect. Cu was Gaussian model. Ratio of
variability caused by random factors to overall variability was large. What’s more, the ranges of spatial
autocorrelation of soil nutrients had much difference. The smallest value was
3600 m in Effect. Zn
while the largest was 77970 m in Org. C. Other characteristics were also included. The study is
helpful to soil sampling design, to make people realize the influence of Han River
to spatial variability of soil nutrients in this area, and to spatial
interpolation and mapping.