pySTEPS/pysteps: pysteps v1.2

Summary of main changes and new features: Code formatting and bug fixes Improve documentation and test coverage Implementation of advanced ARI/VARI time series models, including options for localization and differencing, as well as the estimation of the parameters by OLS Implementation of S-PROG and STEPS in the spectral domain for improved performance New importer for EUMETSAT SAF CRRI data Fix error during gcc installation in travis-ci for osx Compatibility fixes for Numpy 1.18 and pyproj 2.2.0 Remove Basemap as optional dependency Pysteps v1.2.0 changelog: cascade.decomposition: add a method for recomposing the cascade add option to normalize the cascade levels make computation of the cascade level statistics (mean and std) optional add options to choose the input and output domains: spatial or spectral in addition, implement option to use compact output in the spectral domain use lowercase names for the field and mask arguments cascade.interface: modify get_method so that two functions are returned: one for decomposing and one for recomposing the cascade extrapolation.semilagrangian: add option to specify arbitrary time steps motion.lucaskanade: fix error when only one sparse vector is found noise.fftgenerators: add option to choose the output domain for the noise: spatial or spectral nowcasts.sprog and nowcasts.steps: add option to choose the domain for the computations: spatial or spectral nowcasts.utils: remove computation of mean and std from stack_cascades use utils.tapering module to compute window functions io.importers add import_saf_crri importer timeseries.autoregression: add VAR models add OLS estimation of AR/VAR parameters add localized estimation of AR/VAR parameters add differencing option to compute integrated AR/VAR methods use lowercase names for variables and revise docstrings timeseries.correlation: add options for localization and differencing add computation of correlation coefficients in the spectral domain add method for the estimation of multivariate temporal autocorrelation travis: run brew update-reset and brew update before installing gcc-9 utils.spectral: add methods for computing mean, standard deviation and correlation coefficient in the spectral domain add option to normalize the RAPSD visualizations.basemaps add future deprecation warning for Basemap dependenc