01971naa a2200241 a 450000100080000000500110000800800410001910000200006024501100008026000090019052012650019965300190146465300250148365300130150865300260152170000160154770000170156370000180158070000190159870000200161770000200163777300720165711289272019-10-14       2019    bl uuuu     u00u1 u    #d1 aCOSTA, J. J. F.  aIndividualization of soil classes by disaggregation of physiographic map polygons.h[electronic resource]  c2019  aThe objective of this work was to disaggregate the polygons of physiographic map units in order to individualize the soil classes in each one, representing them as simple soil map units and generating a more detailed soil map than the original one, making these data more useful for future reference. A physiographic map, on a 1:25,000 scale, of the Tarum??zinho watershed, located in the municipality of ??guas Frias, in the state of Santa Catarina, Brazil, was used. For disaggregation, three geomorphometric parameters were applied: slope and landforms, both derived from the digital terrain model; and an elevation map. The boundaries of the physiographic units and the elevation, slope, and landform maps were subjected to cross tabulation to identify the existing combinations between the soil classes of each physiographic unit. Based on these combinations, rules were established to select typical areas of occurrence of each soil type in order to train a decision tree model to predict the occurrence of soil classes. The model was trained using the Weka software and was validated with a set of georeferenced soil profiles. Disaggregation enables the individualization and spatialization of soil classes and is useful in producing detailed soil maps.  adecision trees  adigital soil mapping  apedology  asoil class prediction1 aGIASSON, E.1 aSILVA, E. B.1 aCAMPOS, A. R.1 aMACHADO, I. R.1 aBONFATTI, B. R.1 aBACIC, I. L. Z.  tPesquisa Agropecu??ria Brasileira, Bras??liagv. 54, p. 1-11, 2019.