# Optimal soil sampling design based on the maxvol algorithm

arXiv: https://arxiv.org/abs/2103.10337 · HTML: https://mlsanity.com/paper/2103.10337/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Mar 2021.

## Built on by (most cited first, 1 of 1)

- [Correcting sampling biases via importance reweighting for spatial modeling](https://mlsanity.com/paper/2309.04824/) (2023)

## Abstract (arXiv)

Spatial soil sampling is an integral part of a soil survey aimed at creating a soil map. We propose considering the soil sampling procedure as a task of optimal design. In practical terms, optimal experiments can reduce experimentation costs, as they allow the researcher to obtain one optimal set of points. We present a sampling design, based on the fundamental idea of selecting sample locations by performing an optimal design method called the maxvol algorithm. It is shown that the maxvol-base algorithm has a high potential for practical usage. Our method outperforms popular sampling methods in soil taxa prediction based on topographical features of the site and deals with massive agricultural datasets in a reasonable time.