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pygs - Python library for geospatial statistical analyses, simplified NCL-like NetCDF manipulation, mathematical functions and geospatial plotting

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pygs

Library dedicated to Geospatial computations. Individual functions can be understood using their docstrings
Modules include:
gslinalg.py - Computations related to regression and correlation for 3D datasets (Spatio temporal datasets)
gsncl.py - Porting NCL like functions to Python like area averaging, area sum and volume computation
gsplots.py - Simplifying geospatial plotting and hovmoller diagrams. Other functions will be added as and when required
statmisc.py - Small modele with statistical functions related to significance level calculations, time series, and so on...

Changelog v0.13

  1. Spatial auto and cross correlation
  2. Exntension to hov_diagram() like plot_contour_map()
  3. plot_contour_map() now supports Robinson and Hammer projections
  4. Issue #5 Hov diagram optional axis
  5. Issue #6 Robinson map can have axis limits
  6. Issue #7 Grid extremes are now visible after passing suitable grid limits
  7. Issue #9 Fixed. plot_contour_map() now supports matplotlib colormaps and color arrays along with nclcmap arrays
  8. Fixed #10. landsea.nc gets installed when using setup.py

Changelog v0.12

  1. Function to compute spatial autocorrelation
  2. Separate function padding functions for nd arrays
  3. Extend options for contour map and cyclic points
  4. MIT Licensing

Changelog v0.11

  1. netCDF4 variables can now be coordinate subscripted
  2. Masking in wgt_area_average fixed
  3. Added thresholding to Contour maps (bad idea)
  4. Added distutils packaging with setup.py. Package can now be installed with setup.py or pip

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pygs - Python library for geospatial statistical analyses, simplified NCL-like NetCDF manipulation, mathematical functions and geospatial plotting

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