earthml 0.5

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

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.