Disclosing soil properties between boreholes by spatial interpolation techniques

This study examines methods for interpolating geotechnical soil characteristics based on borehole data using the ArcGIS Pro geographic information system. Three methods were applied: Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Empirical Bayesian Kriging (EBK), each with its own features and areas of application. The results showed that EBK provided the most accurate interpretation of geotechnical data, especially under conditions of a limited borehole grid. Visualization of the interpolated values using heat maps demonstrated a high level of detail and consistency with actual geotechnical conditions. Comparison with traditional methods such as IDW and OK showed that EBK is more capable of accurately reproducing the spatial variability of soil characteristics and takes into account the specifics of their distribution at various depths.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-08
DOI
https://doi.org/10.1051/e3sconf/202564801012/pdf
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Disclosing soil properties between boreholes by spatial interpolation techniques

Springer Link (Chiba Institute of Technology)
Geochemistry and Geologic Mapping
article

Disclosing soil properties between boreholes by spatial interpolation techniques

article en

Abstract

This study examines methods for interpolating geotechnical soil characteristics based on borehole data using the ArcGIS Pro geographic information system. Three methods were applied: Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Empirical Bayesian Kriging (EBK), each with its own features and areas of application. The results showed that EBK provided the most accurate interpretation of geotechnical data, especially under conditions of a limited borehole grid. Visualization of the interpolated values using heat maps demonstrated a high level of detail and consistency with actual geotechnical conditions. Comparison with traditional methods such as IDW and OK showed that EBK is more capable of accurately reproducing the spatial variability of soil characteristics and takes into account the specifics of their distribution at various depths.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 44%
Geochemistry and Geologic Mapping
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