{ "_id": "6a1ff73fb401979e7344377e", "Package": "sta", "Version": "0.1.7", "Date": "2022-05-29", "Title": "Seasonal Trend Analysis for Time Series Imagery in R", "Authors@R": "person(\"Inder\", \"Tecuapetla-Gomez\", \nemail = \"itecuapetla@conabio.gob.mx\",\nrole = c(\"aut\", \"cre\"))", "Author": "Inder Tecuapetla-Gomez [aut, cre]", "Maintainer": "Inder Tecuapetla-Gomez ", "Description": "Efficiently estimate shape parameters of periodic time\nseries imagery with which a statistical seasonal trend analysis\n(STA) is subsequently performed. STA output can be exported in\nconventional raster formats. Methods to visualize STA output\nare also implemented as well as the calculation of additional\nbasic statistics. STA is based on (R. Eastman, F. Sangermano,\nB. Ghimire, H. Zhu, H. Chen, N. Neeti, Y. Cai, E. Machado and\nS. 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