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Statistical and Spatial Pattern of Soil Features

D. Naresh Kumar *, M. Rajasekhar **, Madhu Telki ***, T. Venkateswara Rao ****

*-** Department of Civil Engineering, St. Martin's Engineering College, Secunderabad, Telangana, India.

*** Department of Geology, Sree Venkateshwara University, Tirupati, Andhra Pradesh, India.

**** Department of Civil Engineering, Vasireddy Venkatadri institute of Technology, Guntur, Andhra Pradesh, India.

Periodicity:January - June'2020
DOI : https://doi.org/10.26634/jpr.7.1.17671

Abstract

Statistical analytical procedures are usually applied for correlation techniques and in estimation of soil spatial trends. Euclidean cluster, scoter plot, correlation matrix, and inverse distance weight are more favorable statistical properties than traditional procedures. The distribution of soil properties experiment are used to understand engineering characteristics and to conclude suitability for engineering construction initial works. The investigational analysis shows the symptomatic properties of statistical analysis estimations. Three Mandals in Medak district, Telangana state, has been selected to locate appropriate places for civil engineering works. The Mandals are Narsingh Mandal, Shankarampet Mandal, Chegunta Mandal. These three mandals have good agriculture fields so it is difficult to recognize good soil source of geo-technical properties. The assessments are preferred to analyze liquid limit, plastic limit, compaction properties, particle size composition, and proctor compaction. The results of soils are plotted on thematic maps by using inverse distance weight (IDW) and reclassify techniques. These maps are a good example to quickly identify source places. Cluster I and II groups have suitable geo-technical properties of the region, and Cluster III gathers low strength soil samples. Pearson correlation reveals matrix theory to understand reasonable and most suitable parameter in the research region. The liquid limit versus plastic limit R-value is 0.5481 and p-value is <0.5, which indicates a positive correlation. The maximum dry density of plastic limit correlation value R is -0.1395, which indicates a negative correlation and inversely proportional to maximum dry density of the plastic limit.

Keywords

Geo-Technical Properties, IDW, Remote Sensing, Cluster, Scatter Plots.

How to Cite this Article?

Kumar, D. N., Rajasekhar, M., Telki, M., and Rao, T. V. (2020). Statistical and Spatial Pattern of Soil Features. i-manager's Journal on Pattern Recognition, 7(1), 8-17. https://doi.org/10.26634/jpr.7.1.17671

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