A library to Perform different possible operations on Geo-Spatial Dataset
Project description
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.
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