Review of: "Spatial Analysis of Soil Fertility Using Geostatistical Techniques And Artificial Neural Networks"
Year: 2023
Type: peer-review
Abstract: Potential competing interests: No potential competing interests to declare.Article by Valera and Rodriguez describes application of combined ordinary kriging and fuzzy Kohonen clustering in case of mapping soil fertility.Proposed interpolation techniques enabled to prepare membership-based class maps of soils, as well as to estimate reliability of mapping procedure.The general structure of manuscript is acceptable.Graphics quality and English are also reasonable.Article is nice local example of practical application of geostatistical methods to classify various surface samples (e.g.soils or sediments).
Source: Qeios
DOI: 10.32388/om7v1e
Author: Łukasz Maciąg
Institution: University of Szczecin
Language: English
Subfield: Soil Science
Domain: Life Sciences
SDGs: Life on land, Zero hunger
Open Access status: diamond
OpenAlex ID: W4389009869
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