Skip to main content

Common algorithm set package.

Project description

Geographic and meteorological data analysis(gma)

gma is a geographic and meteorological data processing and analysis library. It mainly contains 5 parts, namely:

1.index [index calculation] Including EVI, NDBI, NDVI, NDWI and Penman-Monteith method crop reference evapotranspiration.

2.math [Mathematical operation] Including missing value interpolation, SavitzkyGolay filtering, moving average filtering, and calculation of RMSE, NRMSE, D, r, R2 and MaxAE.

3. osf [System interaction] Contains file search, file compression, decompression, and renaming.

4. rasp [raster processing] Including file merging, band decomposition, cropping, format conversion, mosaic, reprojection, resampling, multidimensional data conversion, raster to vector, array saving as raster, orthorectification, process processing, image fusion, etc.

5.vesp [vector processing] Including vector file decomposition, file inspection, vector conversion to raster, extraction projection, etc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gma-1.0.2-py3-none-any.whl (403.1 kB view details)

Uploaded Python 3

File details

Details for the file gma-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: gma-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 403.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for gma-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c0e8d8d06f45e631cf2fdf207906e4f8c372d16f28e6819609e404de1126667e
MD5 f0c01226a7d9e171b63bc7858b967a82
BLAKE2b-256 104494ccda8de98058228db7c4771e6a274d1d9a3742d423f475aa5c4c894e8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page