This repo is an example of how machine learning can be used to find Porphyry Copper deposits in the Andes. Modified from the workflows of Butterworth, N., D. Steinberg, R. D. Müller, S. Williams, A. S. Merdith, and S. Hardy (2016), Tectonic environments of South American porphyry copper magmatism through time revealed by spatiotemporal data mining, Tectonics, 35, 2847–2862, doi:10.1002/2016TC004289

The main notebook, Muller_copper_prob.ipynb, can be used with the pre-made datasets.

Muller_Bertrand_coregistered.pkl contains the full set of copper-deposits and their associated tectono-magmatic properites.

Muller_Bertrand_coregistered_random.pkl contains a psudeo-random set of non-deposits with known tectono-magmatic properties that can be used for training.

Muller_Bertrand_coregistered_sampleMuller0.pkl contains a set of points following the present day South American subduction zone and the correspoiding tectono-magmatic properites of those points.

The full set of data developed here (and age-grids) can be downloaded directly from https://www.dropbox.com/s/gm7ydn376jarkkf/Muller.zip?dl=0

Or you can make your own files by following the instructions in this readme and other notebooks/scripts in this repo.

A python environemt to get this to work can be made using

set CONDA_FORCE_32BIT=1
conda create -n pyforml_32 python=2.7
conda activate pyforml_32
conda install jupyter matplotlib scipy pyshp numpy scikit-learn=0.17

Then make sure you install pygplates, on Windows I unzipped the 32 bit version then include this line before importing:

import sys
sys.path.append("C:\pygplates_rev18_python27_win32")
import pygplates

• Load in plate polygons and rotation file to GPlates. Click on the export data button and select the following.
• 1. Export Resolved Topologies (CitcomS specific)
• 2. Shapefiles
• 3. ONLY select "Export all Plate Polygons to a single file"
• and "Export Plate Polygon segments to files based on feature type..."

This hack is required because in some cases GPlates (the older versions did not do this) will split the topologies into "points" and "lines", we just want have to rename the "lines" files if this occurs for "convergence.py" to read. This assumes you have exported 230 Myr of reconstructions. Use this bash snippet or similar to find and rename the shape files.

for age in {0..230}; do echo ${age};cp Muller_export/topology_subduction_boundaries_sL_${age}.00Ma/topology_subduction_boundaries_sL_${age}.00Ma_polyline.shx Muller_export/topology_subduction_boundaries_sL_${age}.00Ma.shx;
cp Muller_export/topology_subduction_boundaries_sL_${age}.00Ma/topology_subduction_boundaries_sL_${age}.00Ma_polyline.shp Muller_export/topology_subduction_boundaries_sL_${age}.00Ma.shp;
cp Muller_export/topology_subduction_boundaries_sL_${age}.00Ma/topology_subduction_boundaries_sL_${age}.00Ma_polyline.prj Muller_export/topology_subduction_boundaries_sL_${age}.00Ma.prj;
cp Muller_export/topology_subduction_boundaries_sL_${age}.00Ma/topology_subduction_boundaries_sL_${age}.00Ma_polyline.dbf Muller_export/topology_subduction_boundaries_sL_${age}.00Ma.dbf; done

for age in {0..230}; do echo ${age};cp Muller_export/topology_subduction_boundaries_sR_${age}.00Ma/topology_subduction_boundaries_sR_${age}.00Ma_polyline.shx Muller_export/topology_subduction_boundaries_sR_${age}.00Ma.shx;
cp Muller_export/topology_subduction_boundaries_sR_${age}.00Ma/topology_subduction_boundaries_sR_${age}.00Ma_polyline.shp Muller_export/topology_subduction_boundaries_sR_${age}.00Ma.shp;
cp Muller_export/topology_subduction_boundaries_sR_${age}.00Ma/topology_subduction_boundaries_sR_${age}.00Ma_polyline.prj Muller_export/topology_subduction_boundaries_sR_${age}.00Ma.prj;
cp Muller_export/topology_subduction_boundaries_sR_${age}.00Ma/topology_subduction_boundaries_sR_${age}.00Ma_polyline.dbf Muller_export/topology_subduction_boundaries_sR_${age}.00Ma.dbf; done

for age in {0..230}; do echo ${age};  python convergence.py Muller_gplates/Global_EarthByte_230-0Ma_GK07_AREPS.rot Muller_export/topology_subduction_boundaries_sL_${age}.00Ma.shp Muller_export/topology_subduction_boundaries_sR_${age}.00Ma.shp Muller_export/topology_platepolygons_${age}.00Ma.shp ${age}; done

This should output a collection of files labelled as "subStats_0.csv" for each time interval. These are the calculated plate kinematics data.

The *.pkl files, as produced in Butterworth et al 2016 require an additional step to create. This is the bit that 'co-registers' the copper deposits with the kinematic data from convergece.py and the agegrids. You have to run the "coregLoop" function within Utils_coreg.py

There are a few manual changes that may need to be done as the Agegrid data, and directories are hard coded. But in principle it is easy , just use the line in python:

#Read in a shapefile
andeanPoints="XYBer14_t2_ANDES.shp"
[recs,shapes,fields,Nshp]=readTopologyPlatepolygonFile(andeanPoints)

#Run the coregistration
coregData=coregLoop(recs,shapes,fields,Nshp,3)

#Then you can save the data as a pickle file or do whatever you like with it!
``