<i>Smart-Map</i>: An Open-Source QGIS Plugin for Digital Mapping Using Machine Learning Techniques and Ordinary Kriging
Machine Learning (ML) algorithms have been used as an alternative to conventional and geostatistical methods in digital mapping of soil attributes. An advantage of ML algorithms is their flexibility to use various layers of information as covariates. However, ML algorithms come in many variations th...
Main Authors: | Gustavo Willam Pereira, Domingos Sárvio Magalhães Valente, Daniel Marçal de Queiroz, André Luiz de Freitas Coelho, Marcelo Marques Costa, Tony Grift |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/12/6/1350 |
Similar Items
-
Comparative analysis of QGIS plugins for Web Maps creation
by: Lia Duarte, et al.
Published: (2021-08-01) -
Geo-MST: A geographical minimum spanning tree plugin for QGIS
by: Murat Çalışkan, et al.
Published: (2020-07-01) -
Spatial analysis of areas likely to harbor American cutaneous leishmaniasis in Seropédica, Rio de Janeiro State, Brazil
by: Isabela Pereira de Oliveira, et al.
Published: (2016-02-01) -
Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS
by: Anita Graser, et al.
Published: (2015-10-01) -
THE GLOBAL POSITIONING SYSTEM (GPS) IN PRECISION FORESTRY
by: J. Tenutti
Published: (2015-06-01)