Metadata-Version: 2.4
Name: astrogee
Version: 0.1.0
Summary: Turn field measurement CSVs into styled concentration hotspot maps, anywhere on Earth.
Author: astrogee
License: MIT License
        
        Copyright (c) 2026 astrogee
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/YOUR_USERNAME/astrogee
Project-URL: Repository, https://github.com/YOUR_USERNAME/astrogee
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: click>=8.1
Requires-Dist: rich>=13.0
Requires-Dist: pandas>=2.0
Requires-Dist: scipy>=1.11
Requires-Dist: matplotlib>=3.8
Requires-Dist: shapely>=2.0
Requires-Dist: requests>=2.28
Requires-Dist: pycountry>=22.3
Dynamic: license-file

# astrogee

Turn a CSV of field measurements into a styled concentration hotspot
map. Guided prompts, no flags to memorize, no GIS software required.
Works anywhere on Earth.

```
              ,MMM8&&&.
         _...MMMMM88&&&&..._
      .::'''MMMMM88&&&&&&''::.
     ::     MMMMM88&&&&&&     ::
     '::....MMMMM88&&&&&&....::'
         '''MMMMM88&&&&&'''
              'MMM8&&&'

               astrogee
```

## Install

```bash
pip install git+https://github.com/YOUR_USERNAME/astrogee.git
```

Or with the one line installer:

```bash
curl -sSL https://raw.githubusercontent.com/YOUR_USERNAME/astrogee/main/install.sh | bash
```

Once published to PyPI, this becomes:

```bash
pip install astrogee
```

## Use

```bash
astrogee
```

That is the whole interface. It walks you through:

1. Pointing to your CSV file
2. Matching your latitude, longitude, and value columns
3. Generating and saving a styled hotspot map

Your CSV just needs a latitude column, a longitude column, and one
numeric value column, whatever you measured, anywhere in the world.
Column names do not matter, astrogee will guess and let you confirm.

Output is saved to `astrogee_outputs/` in whatever folder you run it
from.

## How it works

Under the hood, astrogee runs Inverse Distance Weighting (IDW)
interpolation on your field points, then renders the result with a
title, legend, north arrow, and scale bar using matplotlib. The map
extent is simply the bounding box of your own data, so it works on
any set of coordinates, anywhere, with no external boundary files or
region lookups involved.

No satellite data, no cloud API, no license required. It runs fully
offline once installed.

## Requirements

Python 3.9 or newer. Everything else installs automatically:
click, rich, pandas, scipy, matplotlib.

## License

MIT. Use it, fork it, ship it.
