The Use of Fuzzy Logic and Geostatistical Techniques for Spatialization of Soil Texture in Part of Kano Close Settled Zone Kano State, Nigeria
[1]
Mohammed Ahmed, Faculty of Earth and Environmental Science, Department of Geography, Bayero University Kano, Kano State, Nigeria.
Lack of spatial information on soil textural classes has attributed to the wrong usage of land for cultivation. The introduction of Fuzzy logic and Geostatistic offers a convenient tool to help solving the problem of the use of generalization in data analysis for soil texture using the conventional method. 51 soil samples from a gridded map of the area to the depth of 30 cm were analysed in the laboratory and imported into Arc GIS 10.1. The purpose of this paper is to present a methodology that provides the soil texture spatialization by using Fuzzy logic and Geostatistic in the study area. A Geostatistical interpolation algorithm was employed to determine the prediction performances of the model. Semivariograms were produced for each soil textural class. The results of the spatial distribution of the textural classes indicated that loamy sand has dominated the area. The study shows that kriging was the best technique for each soil textural classes. The knowledge of the spatialization of soil properties, such as the texture, can be an important tool for land use planning.
Soil, Kriging, Co-Kriging, GIS, Semivariogram, Geostatistics, Fuzzy Logic
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