Code Monkey home page Code Monkey logo

ohw23_proj_marinesdms's Introduction

ohw23_proj_marinesdms: Marine species distribution model (SDM) tutorial

This tutorial was developed during OceanHackWeek by members of the Marine Species Distribution Model group. It shows a simple workflow to develop a marine SDM focusing on the Arabian Sea and the Bay of Bengal.

Requirements

Some experience programming in R is needed to make the most of this tutorial. To run this tutorial make sure you clone this repository into your local machine by creating a new project that uses version control (git).

The tutorial content was developed in a R version 4.2.2 for Linux. Full session information is included below:

R version 4.2.2 (2022-10-31)
Platform: x86_64-conda-linux-gnu (64-bit)
Running under: Debian GNU/Linux 11 (bullseye)

Matrix products: default
BLAS/LAPACK: /opt/conda/lib/libopenblasp-r0.3.21.so

locale:
 [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8       
 [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
 [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
[10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
[1] compiler_4.2.2 tools_4.2.2   

Additional resources

If you need additional support with R programming, you can check the following resources:

For information on how to use git and GitHub with R, Happy Git and GitHub for the useR by Jenny Bryan is a great resource.

Tutorial developers

Add updates, barriers, etc. as issues.

Day 1

Jam Board/team formation

Day 2 / Day 3 check in

  • eli: got the zarr file into R!
  • caitlin:
  • laura: familiarizing with data and getting species occurrence data into R
  • paulo: learning about packages in R
  • mackenzie: getting data from the zarr file into dataframes to make working with it easier
  • mary: occurrence data and differentiating land and sea sitings
  • jade: occurrence data and SDM nitty gritty

Day 2

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.