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- W2370131907 abstract "Using geostatistics for studying on these variables with random and structure is becoming one of the main spatial analytical methods within the field of environmental sciences which has more information on spatial variability and scales of soil properties than classical statistical methods. Based on the SOTER methodology and spatial function of GIS, a local level SOTER database in an experimental plot of Zhangpu county in southeast of Fujian province was upbuilt in the study. The maps of relief, lithology and soil series were selected from the database as the data source. The spatial autocorrelation analysis was applied to the physical and chemical properties of the 17 typical soil profiles. The results indicated the soil series had relatively strong spatial correlation patterns and there were global trend from coast to inland and unconspicuous anisotropy after removing the trend. To explore the causes of the phenomenon the study combined the maps of relief, lithology and microlandform to construct the soil series-landscape models which showed the global trend was determined by relief, lithology and soil series while low anisotropy comes from other influence factors." @default.
- W2370131907 created "2016-06-24" @default.
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- W2370131907 date "2005-01-01" @default.
- W2370131907 modified "2023-09-28" @default.
- W2370131907 title "Spatial Autocorrelation Analysis to the Main Physical and Chemical Characters of Soil Series in Zhangpu County Based on SOTER" @default.
- W2370131907 hasPublicationYear "2005" @default.
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