| Name | earthml JSON |
| Version |
0.4
JSON |
| download |
| home_page | https://github.com/akhilchibber |
| Summary | A library to Perform different possible operations on Geo-Spatial Dataset |
| upload_time | 2023-08-03 19:30:27 |
| maintainer | |
| docs_url | None |
| author | Akhil Chhibber |
| requires_python | |
| license | |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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# EarthML: Geospatial Data Analysis Made Easy
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.
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