Giter VIP home page Giter VIP logo

mapo's Introduction

Mapo

About

Mapo AI is a virtual exploration assistant that manages your mineral exploration efforts. To learn more, check out the Mapo Blog Post and Mapo White Paper.

Data

The data folder contains mineral occurence datasets for:

  1. Canada > British Columbia
  2. Canada > Alberta

Canada > British Columbia

1. ARIS Mineral Assessment Report Index Dataset

ariasdata.csv and arismetadata.csv

  • Number of data records: 35,898
  • Date of last update: Unknown

2. MINFILE Mineral Occurrence Dataset

MINFILE.csv

  • Number of records: 14,817
  • Record last modified: 2018-11-27

To re-create MINFILE.csv, perform the following:

  1. Go here: http://apps.gov.bc.ca/pub/dwds/addProducts.do
  2. Search "MINFILE Mineral Occurrence Database"
  3. Click + button to add database to order
  4. Click "View Your Order" button
  5. Slect "Geographic Long/Lat (dd)" under projection drop-down menu and "CSV" under format drop-down menu
  6. Type your email address
  7. Press "I accept the Terms and Conditions"
  8. Press "Submit Order"
  9. Receive email from [email protected] with the subject: "Your order XXXXXXX has been assembled"
  10. Copy URL in the email body (i.e. https://apps.gov.bc.ca/pub/dwds/initiateDownload.do?orderId=XXXXXXX)
  11. Paste URL into browser to download a ZIP file
  12. Open ZIP file to extract contents
  13. Open extracted folder
  14. Open "MINFIL_MINERAL_FILE" folder
  15. Use "MINFILE.csv" for data analysis

3. Mineral Resources Data System (MRDS) Dataset

mrds.csv

  • Number of records: 244
  • Record last modified: Unknown

To re-create mrds.csv, perform the following:

  1. Go here: https://mrdata.usgs.gov/mrds/geo-inventory.php
  2. Click the "North America" link
  3. Click the "Canada" link
  4. Select "CSV" under Format menu
  5. Click "Download" button
  6. Look for "British Columbia" rows under the "state" column

Canada > Alberta

1. Metallic Mineral Occurrence Dataset

Metallic_Mineral_Occurrence.csv

  • Website
  • Number of records: 385
  • Record last modified: 2016-09-23

2. Mineral Resources Data System (MRDS) Dataset

mrds.csv

  • Number of records: 24
  • Record last modified: Unknown

To re-create mrds.csv, perform the following:

  1. Go here: https://mrdata.usgs.gov/mrds/geo-inventory.php
  2. Click the "North America" link
  3. Click the "Canada" link
  4. Select "CSV" under Format menu
  5. Click "Download" button
  6. Look for "Alberta" rows under the "state" column

Run on Local Machine

  1. Create environment using pipenv with python 3.6.*

    pipenv --python python3.6
    
  2. Enter pipenv environment

    pipenv shell
    
  3. Install packages (for development)

    pipenv install -d
    

Perform Exploratory Data Analysis (EDA)

  1. To explore the existing datasets, review the eda folder
  2. To visualize mineral occurrence data on a map, look for: Latitude, Longitude, Depth, or Elevation values. Use the guide below to get started.

British Columbia, Canada

MINFILE.csv

  • Relevant columns: DECIMAL_LATITUDE, DECIMAL_LONGITUDE, ELEVATION, COMMODITY_DESCRIPTION1, COMMODITY_DESCRIPTION2, COMMODITY_DESCRIPTION3, COMMODITY_DESCRIPTION4, COMMODITY_DESCRIPTION5, COMMODITY_DESCRIPTION6, COMMODITY_DESCRIPTION7, COMMODITY_DESCRIPTION8
  • Missing columns: year of discovery

mrds.csv

  • Relevant columns: latitude, longitude, commod1, commod2, commod3, disc_yr
  • Missing columns: depth or elevation of discovery

Alberta, Canada

Metallic_Mineral_Occurrence.csv

  • Relevant columns: Long_NAD83, Lat_NAD83, Depth_m, Comm_1, Comm_2, Location, Ref_AGS

mrds.csv

  • Relevant columns: latitude, longitude, commod1, commod2, commod3, disc_yr
  • Missing columns: depth or elevation of discovery

mapo's People

Contributors

bajcmartinez avatar rahulkhopkar avatar slavakurilyak avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.