This function calculator is an estimate for a time series complexity.#-> In Package def cid_ce(x, normalize): if not isinstance(x, (np.ndarray, pd.Series)): x = np.asarray(x) if normalize: s = np.std(x) if s!=0: x = (x - np.mean(x))/s else: return 0.0 x = np....
The combination is easy to implement using ArcGIS; the conditional function (con) and math logical function (IsNull) of the Raster Calculator was used to combine the significant pixels in TSS-RESTREND and RESTREND. The IsNull function was used to select the pixels with an insignificant change ...
This function calculator is an estimate for a time series complexity.#-> In Package def cid_ce(x, normalize): if not isinstance(x, (np.ndarray, pd.Series)): x = np.asarray(x) if normalize: s = np.std(x) if s!=0: x = (x - np.mean(x))/s else: return 0.0 x = np....