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Mostrando ítems 1-4 de 4

    • A multivariate approach for mapping a soil quality index and its uncertainty in southern France 

      Angelini, Marcos Esteban; Heuvelink, Gerard B.M.; Lagacherie, P. (Wiley, 2023-03)
      Pedometricians have spent a lot of effort on mapping soil types and basic soil properties. However, end-users typically need a more elaborate soil quality index for land management. Soil quality indices are typically derived ...

    • Including spatial correlation in structural equation modelling of soil properties 

      Angelini, Marcos Esteban; Heuvelink, Gerard B.M. (Elsevier, 2018-06)
      Digital soil mapping techniques usually take an entirely data-driven approach and model soil properties individually and layer by layer, without consideration of interactions. In previous studies we implemented a structural ...

    • Machine learning in space and time for modelling soil organic carbon change 

      Heuvelink, Gerard B.M.; Angelini, Marcos Esteban; Poggio, Laura; Bai, Zhanguo; Batjes, Niels H.; van den Bosch, Rik; Bossio, Deborah; Estella, Sergio; Lehmann, Johannes; Olmedo, Guillermo Federico; Sanderman, Jonathan (Wiley, 2020-05-20)
      Spatially resolved estimates of change in soil organic carbon (SOC) stocks are necessary for supporting national and international policies aimed at achieving land degradation neutrality and climate change mitigation. In ...

    • Multivariate mapping of soil with structural equation modelling 

      Angelini, Marcos Esteban; Heuvelink, Gerard B.M.; Kempen, Bas (2017-09)
      In a previous study we introduced structural equation modelling (SEM) for digital soil mapping in the Argentine Pampas. An attractive property of SEM is that it incorporates pedological knowledge explicitly through a ...