Preference assessment of spatial interpolation methods on soil resistance zoning(Case study: parvaz town)

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Jani Rasoul

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Journal Paper

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Journal: GEOGRAPHIC SPACE Year:2018 | Volume:18 | Issue:61 Page(s): 125-140

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Information Journal Paper

Title

Preference assessment of spatial interpolation methods on soil resistance zoning(Case study: parvaz town)

Author(s)

Jani Rasoul | Issue Writer Certificate

Keywords

allowable resistanceQ1

krigingQ2

inverse distance weightedQ1

radial basis functionsQ1

polynomialQ1

Abstract

Geotechnical studies to identify physical properties of soils is important in designs. Borehole drilling, sampling and geotechnical tests in addition to cost and time may lead to irreparable losses, such as gas pipelines, reversal of nearby buildings and so on. In conventional buildings using spatial interpolation methods can be made to solve this problem without the performing required examinations. In the study, geostatistical methods such as kriging, inverse distance weighted, radial basis functions, local polynomial and global polynomial is used for estimating the allowable resistance. The results indicate that the interpolation methods, ordinary kriging with spherical model with the greatest correlation and least squares error (R2 =NASH=0/94, NRMSE =0/018) is the best method to estimate allowable soil resistance.

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APA: Copy

Jani, Rasoul. (2018). Preference assessment of spatial interpolation methods on soil resistance zoning(Case study: parvaz town). GEOGRAPHIC SPACE, 18(61 ), 125-140. SID. https://sid.ir/paper/91664/en

Vancouver: Copy

Jani Rasoul. Preference assessment of spatial interpolation methods on soil resistance zoning(Case study: parvaz town). GEOGRAPHIC SPACE[Internet]. 2018;18(61 ):125-140. Available from: https://sid.ir/paper/91664/en

IEEE: Copy

Rasoul Jani, “Preference assessment of spatial interpolation methods on soil resistance zoning(Case study: parvaz town),” GEOGRAPHIC SPACE, vol. 18, no. 61 , pp. 125–140, 2018, [Online]. Available: https://sid.ir/paper/91664/en

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