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Remote Sensing of Environment, ISSN 0034-4257, 06/2017, Volume 194, pp. 190 - 204
Journal Article
Geoderma, ISSN 0016-7061, 2010, Volume 155, Issue 3, pp. 175 - 185
Terrain attributes are the most widely used predictors in digital soil mapping. Nevertheless, discussion of techniques for addressing scale issues and feature selection has been limited... 
Spatial data mining | Feature selection | Digital soil mapping | ANOVA | Multi-scale digital terrain analysis | Principal components analysis | Decision trees | Random subsets | SIZE | SILTY | DEM RESOLUTION | RANDOM SUBSPACE METHOD | MODEL | SOIL SCIENCE | SCALE-DEPENDENT CORRELATION | LANDSCAPES | MAP | Soil formation | Geographical research | Data mining | Analysis | Accuracy | Terrain analysis | Terrain | Condensing | Digital | Computational efficiency | Soil (material) | Soil mapping
Journal Article
Remote sensing of environment, ISSN 0034-4257, 2011, Volume 115, Issue 10, pp. 2564 - 2577
Journal Article
Mobile Networks and Applications, ISSN 1383-469X, 8/2019, Volume 24, Issue 4, pp. 1269 - 1278
Journal Article
Spatial statistics, ISSN 2211-6753, 2018, Volume 28, pp. 59 - 78
The use of covariance kernels is ubiquitous in the field of spatial statistics. Kernels allow data to be mapped into high-dimensional feature spaces... 
Random Fourier features | Nonstationary | Gaussian process | Spatial statistics | GEOSCIENCES, MULTIDISCIPLINARY | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | REMOTE SENSING | MODELS | MARKOV RANDOM-FIELDS | STATISTICS & PROBABILITY | INFERENCE
Journal Article
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 2018, Volume 10, Issue 6, p. 872
Journal Article
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 2015, Volume 7, Issue 1, pp. 1074 - 1094
Journal Article
IEEE transactions on geoscience and remote sensing, ISSN 1558-0644, 2014, Volume 52, Issue 2, pp. 787 - 804
Journal Article