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Meteo GIS

Meteo GIS is a lightweight Python toolkit for geospatial processing and climate index analysis. It provides utilities for raster/vector conversion, geospatial file handling, and hydrometeorological indices like SPI and SPEI.

Features

  • Climate index analysis
    • Standardized Precipitation Index (SPI)
    • Standardized Precipitation-Evapotranspiration Index (SPEI)
  • Raster utilities
    • Clipping
    • Contour generation
    • Hillshade and raster algebra
    • Polygonize raster data
    • Raster-to-point extraction
  • Vector utilities
    • Buffer, clip, dissolve, merge, reproject, simplify, and union features
  • I/O helpers for reading and writing geospatial formats

Requirements

  • Python 3.9+
  • numpy
  • rasterio
  • geopandas
  • xarray
  • scipy
  • pandas

Additional dependencies such as pandas, scipy, netCDF4, shapely, and fiona may be required for specific conversion and analysis modules.

Installation

pip install meteogis

Quick Start

Import tools directly from the package or from the submodules:

import numpy as np
from meteogis.analysis.spi import spi
from meteogis.analysis.spei import spei
from meteogis.read_file import read_file
from meteogis.to_file import to_file

# Example: compute SPI from a pandas Series or xarray-like object
rainfall = read_file("Rainfall_1990-2024.nc")
spi_values = spi(rainfall, thresh=3)

# Example: compute SPEI from precipitation and PET series
spei_values = spei(preci, pet, window=6)

# Write a raster
array = np.ones((100, 100), dtype="float32")
to_file(
    array, "rainfall.tif",
    xsize=100, ysize=100,
    crs="EPSG:4326",
    geotransform=(3.0, 0.01, 0, 9.0, 0, -0.01),
)

# Write a vector layer
stations = [
    (Point(3.9, 7.4), {"name": "Ibadan", "rainfall_mm": 120}),
    (Point(7.5, 9.1), {"name": "Abuja", "rainfall_mm": 95}),
]
to_file(stations, "stations.geojson", crs="EPSG:4326")

# Example: convert a shapefile to GeoJSON
geojson_from_shp = read_file('ne_10m_geography_regions_polys.shp')

# Read a raster data
dataset = read_file("rainfall.tif")
print(dataset.array.shape, dataset.crs)

Project Structure

  • src/meteogis/analysis/ — climate and hydrological index functions
  • src/meteogis/raster/ — raster processing helpers
  • src/meteogis/vector/ — vector geometry operations
  • src/meteogis/io/ — read/write helpers for geospatial data

Contributing

Contributions are welcome.

  1. Fork the repository
  2. Create a feature branch
  3. Add or update tests and documentation
  4. Submit a pull request

License

This project is licensed under the MIT License.

Author

David Akinduyile — thatpythonguy96@gmail.com

Metadata

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