Expected outputs<\/h1><\/h1><\/div><\/div><\/div><\/div><\/div>\n- A mineral prospectivity analysis procedure where part of the currently manual processing is done using machine learning<\/li>\n
- Model validation and testing methods for geoscience applications that are handling well with spatially correlated data<\/li>\n
- Deep learning techniques for prospectivity analysis to maximize the amount of information extracted from the data<\/li>\n
- Preprocessing workflow for geochemical data by spatial filtering and compositional data analysis for improving geochemical data efficiency prospectivity analysis<\/li>\n<\/ul>\n<\/div><\/div><\/div>
\n- Sustainability-enhanced processes for MPM<\/li>\n
- ArcSDM toolbox for ArcGIS Pro\n
\n- Access to the most recent version of ArcSDM 5 through GitHub<\/a>\u00a0https:\/\/github.com\/gtkfi\/ArcSDM<\/a><\/li>\n<\/ul>\n<\/li>\n
- The current version will be updated, and new deep-learning tools will be implemented.<\/li>\n
- Updated MPM online map service<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div>
\n- A mineral prospectivity analysis procedure where part of the currently manual processing is done using machine learning<\/li>\n
- Model validation and testing methods for geoscience applications that are handling well with spatially correlated data<\/li>\n
- Deep learning techniques for prospectivity analysis to maximize the amount of information extracted from the data<\/li>\n
- Preprocessing workflow for geochemical data by spatial filtering and compositional data analysis for improving geochemical data efficiency prospectivity analysis<\/li>\n<\/ul>\n<\/div><\/div><\/div>
\n- Sustainability-enhanced processes for MPM<\/li>\n
- ArcSDM toolbox for ArcGIS Pro\n
- \n
- A mineral prospectivity analysis procedure where part of the currently manual processing is done using machine learning<\/li>\n
- Model validation and testing methods for geoscience applications that are handling well with spatially correlated data<\/li>\n
- Deep learning techniques for prospectivity analysis to maximize the amount of information extracted from the data<\/li>\n
- Preprocessing workflow for geochemical data by spatial filtering and compositional data analysis for improving geochemical data efficiency prospectivity analysis<\/li>\n<\/ul>\n<\/div><\/div><\/div>
- \n
- Sustainability-enhanced processes for MPM<\/li>\n
- ArcSDM toolbox for ArcGIS Pro\n
- \n
- Access to the most recent version of ArcSDM 5 through GitHub<\/a>\u00a0https:\/\/github.com\/gtkfi\/ArcSDM<\/a><\/li>\n<\/ul>\n<\/li>\n
- The current version will be updated, and new deep-learning tools will be implemented.<\/li>\n
- Updated MPM online map service<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div>
- \n
- A mineral prospectivity analysis procedure where part of the currently manual processing is done using machine learning<\/li>\n
- Model validation and testing methods for geoscience applications that are handling well with spatially correlated data<\/li>\n
- Deep learning techniques for prospectivity analysis to maximize the amount of information extracted from the data<\/li>\n
- Preprocessing workflow for geochemical data by spatial filtering and compositional data analysis for improving geochemical data efficiency prospectivity analysis<\/li>\n<\/ul>\n<\/div><\/div><\/div>
- \n
- Sustainability-enhanced processes for MPM<\/li>\n
- ArcSDM toolbox for ArcGIS Pro\n
- Access to the most recent version of ArcSDM 5 through GitHub<\/a>\u00a0https:\/\/github.com\/gtkfi\/ArcSDM<\/a><\/li>\n<\/ul>\n<\/li>\n
![\"Mineral](\"https:\/\/projektit.gtk.fi\/aimex\/wp-content\/uploads\/sites\/28\/2024\/02\/mineral-system-model.png\")
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