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Supplemental Information

Supplementary file of raw dataset with 11 feature variables and the target variable

Each data point is either a contacted or uncontacted indigenous village along with 11 feature variables from remote sensing.

DOI: 10.7287/peerj.preprints.27307v1/supp-1

R script

R script to run modified random forest algorithm with threshold that varies iteratively.

DOI: 10.7287/peerj.preprints.27307v1/supp-2

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Robert S Walker conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Marcus J Hamilton conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

The raw remote sensing variables are provided in the supplementary file. These variables match the descriptions of each variable in the main text. These variables were used to train the random forest algorithm to identify uncontacted versus contacted indigenous villages denotes as such in the first column.

Funding

This work was supported by a National Geographic Society Research and Exploration Grant (#9764-15). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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