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ISRIC's Fruitful Meeting 
18-Nov-2014 
Alessandro Samuel Rosa 
Guest Researcher 
Report of activities 
Jan-Dec 2014
Science without Borders 
● Coordination for the Improvement of 
Higher Education Personnel (CAPES) 
● Supervisors 
– Dr. Lúcia Anjos – Universidade Federal 
Rural do Rio de Janeiro 
– Dr. Gustavo Vasques – Embrapa Solos 
– Dr. Gerard Heuvelink – ISRIC
Was this year fruitful?
The original plan 
● PhD research project 
● GSIF project 
– WOSIS and World Soil 
Profiles 
– GSIF R-package 
– documentation 
● Universal Soil 
Classification System 
– Tropical Soils
The original plan 
● Evaluate the main sources of uncertainty in DSM 
– CHAPTER I. How much uncertainty reduction is achieved 
when more detailed environmental covariates are used? 
– CHAPTER II. How do calibration sample size and 
sampling design affect model composition and prediction 
accuracy? 
– CHAPTER III. How strongly correlated are environmental 
covariates? Is prediction accuracy improved when they 
are transformed to their principal components? 
– CHAPTER IV
I was not prepared for... 
● Changing some aspects of the project 
● Programming and packaging 
● Discussing about authorship 
● Waiting for the feedback of the co-authors 
● Working with three active co-authors 
● Summer break
Contributions 
● SoilGrids1km: quality checks, cross-validation, 
publicity (Brazil) 
● WOSIS: quality checks, duplicates 
● SoilInfo App, Spring School: publicity (Brazil) 
● Universal Soil Classification: Erika Michéli, 
Hungary, Brazilian soil data 
● WRB: Peter Schad, new qualifier (iron), 
Brazilian soil data at ISRIC
Events and publications 
● WCSS: new qualifier for the WRB (iron) 
● WCSS: formalizing free survey (psycology) 
● EGU: quality of freely available covariates 
● geoENV: formalizing free survey (statistics) 
● PlosOne: SoilGrids1km
Events and publications 
● The Santa Maria dataset, reviewed by Ad 
– Metadata 
● R-package pedometrics 
– Plotting 
– Stewise regression 
– Spatial simulated annealing 
● Geoderma: paper under review
Do more detailed environmental covariates deliver 
more accurate soil maps? 
● Environmental covariates 
● Some results for soil organic carbon 
● Main conclusions
l 
l 
l 
l l 
SOC model ranking 
Adjusted R2 Design 
land 
geo 
dem 
soil 
0.56 
0.54 
0.52 
0.50 
0.48 
0.46 
0.44 
l 
l l l 
l l 
l 
l l l l l l 
l 
l l 
l 
l 
l l l 
l l 
l 
l 
30 25 20 15 10 5 1 
l l 
sat
Do more detailed environmental covariates deliver 
more accurate soil maps? 
● Modest increase in the accuracy of linear models 
● Benefit depends on soil property and other 
covariates 
● Decision based on: 
– Relation between covariate and soil property 
– How much more detailed? 
– Budget + Knowledge 
● More soil observations?
Meetings, Talks, Discussions 
● The great ISRIC family (Gerard, Tom, Thomas, 
Bas, Jorge, Eloi, Maria, Marcos, Luc, Ad, Niels) 
● Dick Brus and Jaap de Gruijter, Wageningen 
● Nicolas Saby and Dominique Arrouays, France 
● Hannes Reuter, Luca Montanarella, Erika Michéli, 
Vince Láng, Tom Vanwalleghem 
● Murray Lark and Richard Webster, England 
● ...
Was this year fruitful? 
● From my perspective: 
– Yes, this year was very fruitful! 
● From ISRIC's perspective: 
– PhD student as a guest researcher 
– Not many short term concrete benefits 
– Long term project, future collaboration
My future 
● 2015 – Embrapa Solos 
– September: Pedometrics (Spain) + ISRIC 
● PhD defence – February 2016 
● ???
ISRIC's future (my suggestions) 
● Popularization: Spring School, Ambassadors 
● WOSIS + WorldSoilProfiles 
– Harmonization, Regional experts, Offline, SoilInfo App 
● GlobalSoilMap & GSP 
– ISRIC is the world soil data centre!!! 
● Universal Soil Classification (harmonization) 
● Soil (micro)biology 
● A kitchen
Many thanks for 
everything!

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ISRIC's Fruitfull Presentation - report of activities

  • 1. ISRIC's Fruitful Meeting 18-Nov-2014 Alessandro Samuel Rosa Guest Researcher Report of activities Jan-Dec 2014
  • 2. Science without Borders ● Coordination for the Improvement of Higher Education Personnel (CAPES) ● Supervisors – Dr. Lúcia Anjos – Universidade Federal Rural do Rio de Janeiro – Dr. Gustavo Vasques – Embrapa Solos – Dr. Gerard Heuvelink – ISRIC
  • 3. Was this year fruitful?
  • 4. The original plan ● PhD research project ● GSIF project – WOSIS and World Soil Profiles – GSIF R-package – documentation ● Universal Soil Classification System – Tropical Soils
  • 5. The original plan ● Evaluate the main sources of uncertainty in DSM – CHAPTER I. How much uncertainty reduction is achieved when more detailed environmental covariates are used? – CHAPTER II. How do calibration sample size and sampling design affect model composition and prediction accuracy? – CHAPTER III. How strongly correlated are environmental covariates? Is prediction accuracy improved when they are transformed to their principal components? – CHAPTER IV
  • 6. I was not prepared for... ● Changing some aspects of the project ● Programming and packaging ● Discussing about authorship ● Waiting for the feedback of the co-authors ● Working with three active co-authors ● Summer break
  • 7. Contributions ● SoilGrids1km: quality checks, cross-validation, publicity (Brazil) ● WOSIS: quality checks, duplicates ● SoilInfo App, Spring School: publicity (Brazil) ● Universal Soil Classification: Erika Michéli, Hungary, Brazilian soil data ● WRB: Peter Schad, new qualifier (iron), Brazilian soil data at ISRIC
  • 8. Events and publications ● WCSS: new qualifier for the WRB (iron) ● WCSS: formalizing free survey (psycology) ● EGU: quality of freely available covariates ● geoENV: formalizing free survey (statistics) ● PlosOne: SoilGrids1km
  • 9. Events and publications ● The Santa Maria dataset, reviewed by Ad – Metadata ● R-package pedometrics – Plotting – Stewise regression – Spatial simulated annealing ● Geoderma: paper under review
  • 10. Do more detailed environmental covariates deliver more accurate soil maps? ● Environmental covariates ● Some results for soil organic carbon ● Main conclusions
  • 11.
  • 12. l l l l l SOC model ranking Adjusted R2 Design land geo dem soil 0.56 0.54 0.52 0.50 0.48 0.46 0.44 l l l l l l l l l l l l l l l l l l l l l l l l l 30 25 20 15 10 5 1 l l sat
  • 13. Do more detailed environmental covariates deliver more accurate soil maps? ● Modest increase in the accuracy of linear models ● Benefit depends on soil property and other covariates ● Decision based on: – Relation between covariate and soil property – How much more detailed? – Budget + Knowledge ● More soil observations?
  • 14. Meetings, Talks, Discussions ● The great ISRIC family (Gerard, Tom, Thomas, Bas, Jorge, Eloi, Maria, Marcos, Luc, Ad, Niels) ● Dick Brus and Jaap de Gruijter, Wageningen ● Nicolas Saby and Dominique Arrouays, France ● Hannes Reuter, Luca Montanarella, Erika Michéli, Vince Láng, Tom Vanwalleghem ● Murray Lark and Richard Webster, England ● ...
  • 15. Was this year fruitful? ● From my perspective: – Yes, this year was very fruitful! ● From ISRIC's perspective: – PhD student as a guest researcher – Not many short term concrete benefits – Long term project, future collaboration
  • 16. My future ● 2015 – Embrapa Solos – September: Pedometrics (Spain) + ISRIC ● PhD defence – February 2016 ● ???
  • 17. ISRIC's future (my suggestions) ● Popularization: Spring School, Ambassadors ● WOSIS + WorldSoilProfiles – Harmonization, Regional experts, Offline, SoilInfo App ● GlobalSoilMap & GSP – ISRIC is the world soil data centre!!! ● Universal Soil Classification (harmonization) ● Soil (micro)biology ● A kitchen
  • 18. Many thanks for everything!