Earthpy - Python

Introduction

Earthpy is a Python package for spatial data analysis. The package is built on top of other popular packages such as numpy, pandas, geopandas, rasterio, shapely, etc. It provides a clean, user-friendly interface to complete common GIS tasks such as reading and plotting raster and vector data, loading and combining geo-referenced data, and much more!

Who is it for?

Earthpy is a great tool for anyone interested in analyzing and visualizing spatial data using Python. Whether you are an experienced spatial analyst or a beginner, Earthpy provides an easy-to-learn interface that will help you quickly get up to speed.

Features

• Read and write common GIS file formats such as shapefiles, GeoTIFFs, and netCDFs
• Work with raster and vector data in a unified manner
• Efficiently clip, reproject and resample raster data
• Read, process, and analyze remote sensing data
• Easily overlay vector data on top of raster data
• Generate publication-quality maps using Matplotlib and Cartopy

Examples

The following code snippets provide a brief illustration of some of the main features of Earthpy:

Reading a GeoTIFF file

import earthpy.spatial as es
import earthpy.plot as ep

# Load the data
data = es.imread('path/to/raster.tif')

# Plot the data
ep.plot_rgb(data)

Reading a shapefile

import geopandas as gpd

# Load the data
data = gpd.read_file('path/to/shapefile.shp')

# Print the first few rows
print(data.head())

Conclusion

Earthpy is a powerful and easy-to-use Python package for spatial data analysis. Whether you are a beginner or an experienced spatial analyst, Earthpy provides the tools you need to effectively work with and analyze GIS data. Try it out today!