Predictive Modeling of Soil Types and Their Characteristics

E-book

Vasyl Cherlinka - Michal Gallay - Yuryi Dmytruk

The textbook is a practical guide to predictive mapping of soil types and properties in R. It bridges digital soil mapping theory with hands-on practice, covering the full workflow from data acquisition and preprocessing to validation and uncertainty quantification. Early chapters introduce the tidyverse ecosystem and the sf and terra packages for spatial data handling. Subsequent parts address modelling of categorical variables (soil types/WRB) and continuous variables (soil organic carbon) using Random Forest, Cubist, and Quantile Regression Forests. Step-by-step code examples show training/testing, feature selection, accuracy metrics, and model interpretation. Reproducibility and cartographic best practice are emphasised. A Slovakia case study demonstrates real-world application while outlining limits and generalisability. The book targets bachelor’s, master’s, and PhD students in geography, geoinformatics, environmental and agricultural sciences, as well as practitioners. Written in English, it fits international courses and mobility programmes.

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Quantity

978-80-574-0433-0

Data sheet

Method of publication:
E-book (pdf)
Authors:
Vasyl Cherlinka - Michal Gallay - Yuryi Dmytruk
Document type:
Course Notes
Number of pages:
201
Available from:
28.08.2025
Year of publication:
2025
Edition:
1st edition
Publication language:
English
Faculty:
Prírodovedecká fakulta
Note:
This book was funded by the European Union’s NextGenerationEU through the Recovery and Resilience Plan for Slovakia (project No. 09I03-03-V01-00049).
License:
CC BY NC ND (Uveďte autora - Nepoužívajte komerčne - Nespracovávajte)
DOI:
https://doi.org/10.33542/PMO-0433-0
- Free for download

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The publication Digiform: A Supporting Application to Digilib – User Guide, Part B presents the Digiform web application as a tool that extends the functionality of the Digilib digital library of formative assessment tools. The application enables the creation and editing of formative assessment tool templates, which can be adapted to the specificities of individual subjects and levels of education and subsequently imported into the Digilib environment for use in the teaching process. The guide provides a detailed description of how to work with the Digiform application, from creating new templates, editing and personalising them, through to their export and implementation in the main Digilib application. Attention is also given to the interconnection with the Digilib Images application, which enables the integration of visual elements into the assessment tools, thereby enhancing their didactic effectiveness and visual appeal. The guide is intended for teachers at all levels of education, student teachers, school administrators, and digital coordinators who are interested in the systematic use of the Digilib digital library to support the implementation of formative assessment, enhance the quality of the educational process, and foster the development of students’ self-assessment and reflective competences.

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Pravdepodobnosť v príkladoch
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Pravdepodobnosť v príkladoch

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Valéria Skřivánková 

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The proceedings contain abstracts of contributions from participants of the Student Scientific Conference of the Faculty of Science, Pavol Jozef Šafárik University in Košice, which took place on April 22, 2015.

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