https://github.com/hamedalemo/xarray-tutorial
Notebooks to learn fundamentals of xarray for geospatial data processing in Python
https://github.com/hamedalemo/xarray-tutorial
geospatial geospatial-analysis geospatial-analytics geospatial-data geospatial-processing xarray
Last synced: 20 days ago
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Notebooks to learn fundamentals of xarray for geospatial data processing in Python
- Host: GitHub
- URL: https://github.com/hamedalemo/xarray-tutorial
- Owner: HamedAlemo
- License: mit
- Created: 2024-11-14T01:06:17.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-18T06:30:34.000Z (over 1 year ago)
- Last Synced: 2025-03-05T00:45:44.300Z (over 1 year ago)
- Topics: geospatial, geospatial-analysis, geospatial-analytics, geospatial-data, geospatial-processing, xarray
- Language: Jupyter Notebook
- Homepage:
- Size: 14.6 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Xarray for Geospatial Data Processing
This repository contains an introduction to `xarray` for geospatial data processing in Python. This is part of the course on [Advanced Geospatial Analytics with Python](https://hamedalemo.github.io/advanced-geo-python/intro.html) taught since Fall 2023 at Clark University.
## Requirements
You can use conda to install the local environment and run the notebooks in this repository, or use Docker to pull an existing image from DockerHub, or build a Docker image locally. Follow one of the three instructions below based on your preference.
## Instructions for Local Conda Environment
```
conda env create -f environment.yml
```
```
conda activate xarray_tutorial
```
```
jupyter lab
```
- Copy the Jupyter Lab url and paste it in your browser.
- Open `xarray_fundamentals.ipynb` and follow the instructions.
- Open `xarray_advanced.ipynb` and follow the instructions.
## Instructions for DockerHub
```
docker pull hamedalemo/xarray-tutorial:1.1
```
```
docker run -it -p 8888:8888 hamedalemo/xarray-tutorial:1.1
```
- Copy the Jupyter Lab url and paste it in your browser.
- Open `xarray_fundamentals.ipynb` and follow the instructions.
- Open `xarray_advanced.ipynb` and follow the instructions.
## Instruction to Build Your Docker Local Image
```
docker build -t xarray-tutorial .
```
```
docker run -it -p 8888:8888 xarray-tutorial
```
- Copy the Jupyter Lab url and paste it in your browser.
- Open `xarray_fundamentals.ipynb` and follow the instructions.
- Open `xarray_advanced.ipynb` and follow the instructions.