summarize a series.

Paste a time series (and optionally timestamps, a seasonal period, and lat/lon). GeoSummary returns descriptives + missing-data accounting, a trend via both OLS and the distribution-free Mann-Kendall test + Theil-Sen slope (the standard climatological trend test), a per-phase seasonal climatology with the variance it explains, the lag-1 autocorrelation, and the spatial extent (bounding box, centroid, great-circle span). Real numpy/scipy — a quick, reproducible, defensible summary for non-specialists.