COMPARISON OF PRINCIPAL COMPONENT ANALYSIS ALGORITHMS FOR IMPUTATION IN AGROMETEOROLOGICAL DATA IN HIGH DIMENSION AND REDUCED SAMPLE SIZE

Hourly databases were used, provided by National Meteorological Institute (INMET) were used for each meteorological variable, from January 1, 2012, to December 31, 2021, evaluated at 45 automatic weather stations in the region of the State of São Paulo, Brazil. For each station, the hourly databases covering the period in question were downloaded from the website of the National Meteorological Institute in .csv format files, totaling four hundred and fifty files (10 years x 45 stations).