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...
- Spatial auto and cross correlation
- Exntension to hov_diagram() like plot_contour_map()
- plot_contour_map() now supports Robinson and Hammer projections
- Issue #5 Hov diagram optional axis
- Issue #6 Robinson map can have axis limits
- Issue #7 Grid extremes are now visible after passing suitable grid limits
- Issue #9 Fixed. plot_contour_map() now supports matplotlib colormaps and color arrays along with nclcmap arrays
- Fixed #10. landsea.nc gets installed when using setup.py
- Function to compute spatial autocorrelation
- Separate function padding functions for nd arrays
- Extend options for contour map and cyclic points
- MIT Licensing
- netCDF4 variables can now be coordinate subscripted
- Masking in wgt_area_average fixed
- Added thresholding to Contour maps (bad idea)
- Added distutils packaging with setup.py. Package can now be installed with setup.py or pip