# EarthML - Geodata to Geohash

EarthML is a Python library designed to convert geospatial datasets into a single geohash representing the smallest possible area that covers the entire dataset. It supports various formats, including `.shp`, `.geojson`, `.tif`, `.las`, `.png`, `.jpg`, and `.jpeg`.

## Goal

The goal of EarthML is to simplify the process of converting geospatial data into a geohash. It can handle different file formats and automatically calculate the geohash that fits the entire study area.

## Features

- **Support for Multiple Formats**: Easily convert geospatial data in Shapefile, GeoJSON, GeoTIFF, LAS, and image formats.
- **Geohash Calculation**: Automatically calculates the geohash that best represents the geographical bounds of the dataset.
- **Easy to Use**: Intuitive functions for loading and processing geospatial data.

## Installation

To install EarthML, you can use pip:

```
pip install earthml
```





# Usage

```
from earthml import geodata_to_geohash

# Calculate geohash
geohash = geodata_to_geohash.find_smallest_geohash('file1.shp')
```





# License
This project is licensed under the MIT License. See the LICENSE file for details.





# Author
Akhil Chhibber






# Note
This README provides a brief overview of the library, explains its goal, highlights key features, and provides simple installation and usage instructions.

Would you like me to make any modifications or provide additional details? Let me know how you'd like to proceed!

