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Eric Grunsky

University of Waterloo

Waterloo, N2L 3G1

Canada

  • University of Waterloo

SCHOLARLY PAPERS

3

DOWNLOADS

280

TOTAL CITATIONS

4

Scholarly Papers (3)

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1.

Mineral Prospectivity Mapping Using Machine Learning Techniques for Gold Exploration in the Larder Lake Area, Ontario, Canada

Number of pages: 51 Posted: 06 Mar 2023
Haiming Liu, Jeff Harris, Ross Sherlock, Pouran Behnia, Eric Grunsky, Mostafa Naghizadeh, Kate Rubingh, Györgyi Tuba, Eric Roots and Graham Hill
Chinese Academy of Geological Sciences, Laurentian University, Laurentian University, Laurentian University, University of Waterloo, Laurentian University, affiliation not provided to SSRN, Laurentian University, Laurentian University and Czech Academy of Sciences
Downloads 175 (433,279)

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Mineral prospectivity mapping (MPM), Machine learning, Partial least squares-discriminant analysis (PLS-DA), Random Forest (RF), Larder Lake area

2.

Geospatial Modelling of Soil Phosphorus Fractions and Sorption Indicators from Heterogeneous Landscapes

Number of pages: 31 Posted: 21 Apr 2023
Rebecca Louise Hall, Felipe Bachion de Santana, Margaret Browne, Vincent Gallagher, Eric Grunsky, Victoria Lowe and Karen Daly
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Waterloo, affiliation not provided to SSRN and Johnstown Castle Research Centre
Downloads 56 (1,000,027)

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Phosphorus, Digital Soil Mapping, Phosphorus sorption indicators, Kriging, interpolation, Soil Index

3.

Geocoda: Recognizing and Validating Structural Processes in Geochemical Data. A Workflow on Compositional Data Analysis in Lithogeochemistry

Number of pages: 38 Posted: 03 Aug 2023
Eric Grunsky, Michael Greenacre and Bruce Kjarsgaard
University of Waterloo, Universitat Pompeu Fabra (UPF) - Faculty of Economic and Business Sciences and Natural Resources Canada
Downloads 49 (1,074,648)
Citation 4

Abstract:

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geochemistrylogratio analysisclassificationlithologic predictioncompositional data analysismachine learning