https://github.com/catchmentsci/geo8026

Repository containing the necessary files for GEO8026 (Data analysis for Geoscience)

https://github.com/catchmentsci/geo8026

Science Score: 13.0%

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Repository

Repository containing the necessary files for GEO8026 (Data analysis for Geoscience)

Basic Info
  • Host: GitHub
  • Owner: CatchmentSci
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 226 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created almost 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

NCL Logo

GEO8026: Data analysis for Geoscience


:book: Table of Contents

Table of Contents
  1. ➤ About The Repository
  2. ➤ Prerequisites
  3. ➤ Repository Structure
  4. ➤ Getting started

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:pencil: About The Repository

This repository provides a range of teaching materials developed for the MRes Environmental Geosciences degree at Newcastle University. Specifically, this repository provides the necessary materials for students undertaking the "GEO8026: Data analysis for Geosciences" module. Materials presented in this repository only relate to the 1st part of the module which is focussed on the use of MATLAB. The module is designed to provide students with working knowledge of software widely-used for numerical analysis in the Geosciences and within a range of industries (e.g. data science, engineering). By the end of the module, students will be equipped with knowledge and skills to be able to organise, query, analyse and display environmental datasets. This skillset will be developed through the completion of practical exercises using research datasets acquired from across the sub-disciplines of the geosciences. Following acquisition of the core skills, students will apply their knowledge to solve realworld problems.

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:fork_and_knife: Prerequisites

Made with MATLAB

This project requires MATLAB 2019a, or later in addition to the following packages: * Communications Toolbox * Curve Fitting Toolbox * Image Processing Toolbox * Mapping Toolbox * Statistics and Machine Learning Toolbox * Wavelet Toolbox

The following open source packages are used in these resources: * GDAL

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:cactus: Repository Structure

Below is the outline of the folder structure within this repository with descriptions provided:

.
├── Block 01                # folder containing introductory challenges
│   ├── data                # subfolder containing example file formats
│   ├── instructions        # subfolder containing three instruction files
│   │   ├── latex           # latex files (not needed)
│   ├── slides              # lecture slides
├── Block 02  
│   ├── code                # code called by the .mlx files in the instructions subfolder
│   ├── data                # subfolder containing example data
│   ├── instructions        # subfolder containing two instruction files
│   ├── slides              # lecture slides
├── Block 03  
│   ├── code                # code called by the .mlx files in the instructions subfolder
│   ├── data                # subfolder containing example data
│   ├── instructions        # subfolder containing one instruction file
├── Block 04  
│   ├── code                # code called by the .mlx files in the instructions subfolder
│   ├── data                # subfolder containing example data
│   ├── instructions        # subfolder containing one instruction file
│   ├── slides              # lecture slides
├── Block 05  
│   ├── data                # subfolder containing example data
│   │   ├── calbuco         # example trail camera imagery
│   │   ├── esk             # example landsat imagery
│   │   ├── iceland         # example Planet imagery
│   │   ├── kenya           # example sentinel imagery    
│   ├── instructions        # subfolder containing four instruction files and one note file 
│   │   ├── latex           # latex files (not needed)
├── Example Datasets      # folder containing example data
├── Portfolio Requirements  # folder containing documents outling the assessment requirements   

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:runner: Getting started

* Either download, or clone this repository to the hard drive on your PC. * Work through each block in sequence, starting with the lecture slides and practical slides (where relevant), before working through each of the instructions documents in sequence (i.e. start at '_01_', then '_02_', etc.)

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