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Influence of Data Interpolation on the Characterization of Spatial Covariate Importance in Digital Soil Mapping
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470517277openalex-extracted
Geostatistics for Environmental Scientists
inferredcites →https://doi.org/10.1007/s11004-021-09946-wopenalex-extracted
A Truly Spatial Random Forests Algorithm for Geoscience Data Analysis and Modelling
inferredcites →https://doi.org/10.1007/s11119-019-09635-zopenalex-extracted
Papaver rhoeas L. mapping with cokriging using UAV imagery
inferredcites →https://doi.org/10.1016/j.catena.2013.09.006openalex-extracted
A tutorial guide to geostatistics: Computing and modelling variograms and kriging
inferredcites →https://doi.org/10.1016/j.catena.2016.05.023openalex-extracted
Spatial variability of soil organic matter using remote sensing data
inferredcites →https://doi.org/10.1016/j.compag.2016.08.015openalex-extracted
The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling
inferredcites →https://doi.org/10.1016/j.compag.2022.106877openalex-extracted
The importance of modeling the effects of trend and anisotropy on soil fertility maps
inferredcites →https://doi.org/10.1016/j.earscirev.2020.103359openalex-extracted
Machine learning for digital soil mapping: Applications, challenges and suggested solutions
inferredcites →https://doi.org/10.1016/j.ecoinf.2010.12.003openalex-extracted
A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors
inferredcites →https://doi.org/10.1016/j.geoderma.2022.116252openalex-extracted
Covariates in sample planning optimization for digital soil fertility mapping in agricultural areas
inferredcites →https://doi.org/10.1016/j.indcrop.2021.113315openalex-extracted
Soil health response to sugarcane straw removal in Brazil
inferredcites →https://doi.org/10.1016/j.still.2017.09.010openalex-extracted
Potential of apparent soil electrical conductivity to describe the soil pH and improve lime application in a clayey soil
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-extracted
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1111/ejss.13370openalex-extracted
Interpretable spectroscopic modelling of soil with machine learning
inferredcites →https://doi.org/10.2136/sssaj2003.1564openalex-extracted
Influence of Spatial Structure on Accuracy of Interpolation Methods
inferredcites →https://doi.org/10.2307/2290613openalex-extracted
An Introduction to Applied Geostatistics.
inferredcites →https://doi.org/10.3390/agronomy8110253openalex-extracted
Workflow to Establish Time-Specific Zones in Precision Agriculture by Spatiotemporal Integration of Plant and Soil Sensing Data
inferredcites →https://doi.org/10.3390/rs12101687openalex-extracted
Random Forest Spatial Interpolation
inferredcites →https://doi.org/10.7717/peerj.5518openalex-extracted
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
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