Using Geostatistics for Spatial Analysis of Soil Moisture Content, Electrical Conductivity and pH at Paddy Fields
| Main Author: | Wijayanto, Yagus |
|---|---|
| Other Authors: | none |
| Format: | Article info original research eJournal |
| Bahasa: | eng |
| Terbitan: |
UNIVERSITY OF LAMPUNG
, 2022
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| Subjects: | |
| Online Access: |
https://journal.unila.ac.id/index.php/tropicalsoil/article/view/492 https://journal.unila.ac.id/index.php/tropicalsoil/article/downloadSuppFile/492/101 |
Daftar Isi:
- Soil is dynamic in nature due to the presence of various internal and external processes exert on soils. This results in unique characteristics in space, both in short and long distances. Geostatistics (Kriging) is the methods for quantifying spatial variation of soil properties. This research was mainly aimed at applying geostatistics to quantify and interpolate the spatial dependance and structure of three soil properties, namey pH, EC and Soil Moisture Content (SMC). This research was conducted on paddy fields in Mlandingan Kulon Village, Situbondo Regency. Sampling was carried out on area of 9.2 Ha with 31 sample points. Normal distribution of data was found for pH and EC, whereas this was not the case for SMC. The results of analysis showed that most of the pH values were alkaline (>8), EC values were non-saline (<2 mm/cm), and SMC was low category (<20%). Strong spatial relationship was found for SMC, with the values of the percentage of nugget/sill was 0.024%. The values of Root Mean Square Error confirmed that kriging with spherical model was the best model, resulted in the RMSE of 0.5226 (pH), 0.035906 (EC) and 1.390158 (SMC).Keywords: kriging, semivariogram, pH, EC, Soil Moisture Content