geoml.datasets

geoml.datasets.walker()[source]

Walker lake dataset.

Returns:

  • walker_point (geoml.data.PointData) – Dataset with 470 samples.

  • walker_grid (geoml.data.Grid2D) – Full data.

geoml.datasets.ararangua()[source]

Drillhole data from Araranguá town, Brazil.

Returns:

ara_dh (geoml.drillhole.DrillholeData) – A dataset with 13 drillholes and one lithology table, named “lito”.

geoml.datasets.macpass(path)[source]

Drillhole data from the Macmillan Pass (Macpass) project, Yukon, Canada.

This data is NOT distributed with geoML. It is published by Fireweed Metals Corp. at https://fireweedmetals.com/macpass-project/ and is subject to the terms at https://fireweedmetals.com/macpass-disclaimer/, which the user accepts by downloading it. Among other things, those terms state that users agree to use the dataset for their own purposes only, and that the accuracy, completeness and reliability of the data are not guaranteed. Download the four CSV files yourself and pass the directory holding them.

Note that this database records a downward hole with a negative dip, the opposite of geoML’s convention, which is why the object below is built with dip_positive_down=False.

Parameters:

path (str) – Directory with the MPA_Collar, MPA_Survey, MPA_Interp and MPA_Samples_BD CSV files.

Returns:

macpass_dh (geoml.drillhole.DrillholeData) – 559 drillholes, with the interval tables “litho” (interpreted rock code) and “assay” (Ag, Pb, Zn and bulk density).

geoml.datasets.example_fold()[source]

Example directional data.

Returns:

  • point (geoml.data.PointData) – Some coordinates with two rock labels.

  • dirs (geoml.data.DirectionalData) – Structural measurements_a representing a fold.

geoml.datasets.sunspot_number()[source]

Sunspot number data.

This data is downloaded from the Royal Observatory of Belgium SILSO website (http://sidc.be/silso/home), and is distributed under the CC BY-NC4.0 license (https://goo.gl/PXrLYd).

Returns:

out - dict – Dict containing the processed and original data.

geoml.datasets.andrade()[source]

Structural measurements in Cerro do Andrade, Caçapava do Sul, Brazil.

Returns:

  • planes (geoml.data.DirectionalData) – Directions parallel to the foliation planes.

  • normals (geoml.data.DirectionalData) – Normals to the foliation planes.

geoml.datasets.jura()[source]

Jura mountains dataset (Goovaerts, 1997).

Returns:

  • jura_train (geoml.data.PointData) – Training data (2 categorical variables and 7 continuous).

  • jura_val (geoml.data.PointData) – Validation data (2 categorical variables and 7 continuous).

geoml.datasets.arctic_lake()[source]

A compositional dataset.

Returns:

arctic_lake_data (geoml.data.PointData)

References

Pawlowsky-Glahn, V., Egozcue, J. J., & Tolosana-Delgado, R. (2015). Modeling and Analysis of Compositional Data. John Wiley & Sons.