Statistical Tools for Climate Change Analysis // A comprehensive collection of statistical functions for climate change research. Provides tools for temporal trend detection based on the Mann-Kendall (MK) test (Mann 1945 doi:10.2307/1907187; Kendall 1975, ISBN:0852641990) and Sen's slope (Sen 1968 doi:10.2307/2285891), spatial autocorrelation using Moran's I (Moran 1950 doi:10.2307/2332142), extreme value analysis using the Generalised Extreme Value (GEV) distribution and Peaks- Over-Threshold (POT) method (Coles 2001 doi:10.1007/978-1-4471-3675-0), standardised drought indices including the Standardised Precipitation Index (SPI; McKee et al. 1993) and the Standardised Precipitation Evapotranspiration Index (SPEI; Vicente-Serrano et al. 2010 doi:10.1175/2009JCLI2909.1), and formal detection-attribution methods via optimal fingerprint regression and Empirical Orthogonal Function (EOF) analysis (Allen and Tett 1999 doi:10.1007/s003820050291), and apparent temperature via the heat index (Steadman 1979 doi:10.1175/1520-0450(1979)018%3C0861:TAOSPI%3E2.0.CO;2). Suitable for both station-level time series and gridded climate fields.