Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin

E. de Souza; T. Hengl; B. Kempen; G.B.M. Heuvelink; E.I. Fernandes Filho; C.E.G.R. Schaefer

Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin

E. de Souza, T. Hengl, B. Kempen, G.B.M. Heuvelink, E.I. Fernandes Filho, C.E.G.R. Schaefer

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Original language	English
Title of host publication	GlobalSoilMap: Basis of the Global Spatial Soil Information System
Subtitle of host publication	Proceedings of the 1st GlobalSoilMap Conference, Orléans, France, 7-9 October 2013
Editors	D. Arrouays, N. McKenzie, J. Hempel, A.C. Richer de Forges, A.B. McBratney
Place of Publication	Orléans
Publisher	Taylor & Francis
Pages	267-271
ISBN (Print)	9781315775586
Publication status	Published - 27 Jan 2014
Event	1st GlobalSoilMap Conference, Orleans, France - Duration: 7 Oct 2013 → 9 Oct 2013

Conference

Conference	1st GlobalSoilMap Conference, Orleans, France
Period	7/10/13 → 9/10/13

Cite this

de Souza, E., Hengl, T., Kempen, B., Heuvelink, G. B. M., Fernandes Filho, E. I., & Schaefer, C. E. G. R. (2014). Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin. In D. Arrouays, N. McKenzie, J. Hempel, A. C. Richer de Forges, & A. B. McBratney (Eds.), GlobalSoilMap: Basis of the Global Spatial Soil Information System: Proceedings of the 1st GlobalSoilMap Conference, Orléans, France, 7-9 October 2013 (pp. 267-271). Taylor & Francis.

de Souza, E. ; Hengl, T. ; Kempen, B. ; Heuvelink, G.B.M. ; Fernandes Filho, E.I. ; Schaefer, C.E.G.R. / Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin. GlobalSoilMap: Basis of the Global Spatial Soil Information System: Proceedings of the 1st GlobalSoilMap Conference, Orléans, France, 7-9 October 2013. editor / D. Arrouays ; N. McKenzie ; J. Hempel ; A.C. Richer de Forges ; A.B. McBratney. Orléans : Taylor & Francis, 2014. pp. 267-271

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year = "2014",

month = jan,

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language = "English",

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de Souza, E, Hengl, T, Kempen, B , Heuvelink, GBM, Fernandes Filho, EI & Schaefer, CEGR 2014, Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin. in D Arrouays, N McKenzie, J Hempel, AC Richer de Forges & AB McBratney (eds), GlobalSoilMap: Basis of the Global Spatial Soil Information System: Proceedings of the 1st GlobalSoilMap Conference, Orléans, France, 7-9 October 2013. Taylor & Francis, Orléans, pp. 267-271, 1st GlobalSoilMap Conference, Orleans, France, 7/10/13.

Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin. / de Souza, E.; Hengl, T.; Kempen, B.; Heuvelink, G.B.M.; Fernandes Filho, E.I.; Schaefer, C.E.G.R.

GlobalSoilMap: Basis of the Global Spatial Soil Information System: Proceedings of the 1st GlobalSoilMap Conference, Orléans, France, 7-9 October 2013. ed. / D. Arrouays; N. McKenzie; J. Hempel; A.C. Richer de Forges; A.B. McBratney. Orléans : Taylor & Francis, 2014. p. 267-271.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin

AU - de Souza, E.

AU - Hengl, T.

AU - Kempen, B.

AU - Heuvelink, G.B.M.

AU - Fernandes Filho, E.I.

AU - Schaefer, C.E.G.R.

PY - 2014/1/27

Y1 - 2014/1/27

M3 - Chapter

SN - 9781315775586

SP - 267

EP - 271

BT - GlobalSoilMap: Basis of the Global Spatial Soil Information System

A2 - Arrouays, D.

A2 - McKenzie, N.

A2 - Hempel, J.

A2 - Richer de Forges, A.C.

A2 - McBratney, A.B.

PB - Taylor & Francis

CY - Orléans

T2 - 1st GlobalSoilMap Conference, Orleans, France

Y2 - 7 October 2013 through 9 October 2013

ER -

de Souza E, Hengl T, Kempen B , Heuvelink GBM, Fernandes Filho EI, Schaefer CEGR. Comparing spatial prediction methods for soil property mapping in Brazil: a case study for the Rio Doce Basin. In Arrouays D, McKenzie N, Hempel J, Richer de Forges AC, McBratney AB, editors, GlobalSoilMap: Basis of the Global Spatial Soil Information System: Proceedings of the 1st GlobalSoilMap Conference, Orléans, France, 7-9 October 2013. Orléans: Taylor & Francis. 2014. p. 267-271