Algorithms for Quantitative Pedology
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Updated
Jan 7, 2025 - R
Algorithms for Quantitative Pedology
Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/
An R implementation of the DSMART algorithm
Annual mapping of soil organic carbon stock in Brazil 1985-present. Training field soil data
This repository contains files for automated soil sampling selection using the K-Means algorithm in R. The repository is intended for researchers and practitioners interested in automated soil sampling selection using the K-Means algorithm.
Spatial modelling via QGIS-R integration
Tier 4 maps of soil pH at 25m resolution for the Netherlands
Citizen-based mapping of paleosol/hydropedologic sequences using machine learning. The outputs contributed to the creation and management of a conservation area in Cerro Seco, southern Bogotá.
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