Man pages for kongdd/PhenoAsync
Extract Remote Sensing Vegetation Phenology
| addPredictor_tn | add previous time step GPP as a new variable |
| cal_Ra | Extraterrestrial radiation |
| check_file | check_file |
| check_sensitivity | check_sensitivity |
| corr_lag | Lag correlation between two variables |
| define_period | define_period Define growing periods according to history... |
| df_North | GPP observation in North Hemisphere It has at least 70% valid... |
| Elasticity_GPP | Get 1th back forward derivate |
| gee_data.table | tidy_gee_json |
| get_acf | autocorrelation coefficientn |
| get_fitting2 | get_fitting2 |
| ggplot_1var | global variables: smooth_formula, span |
| ggplot_multiAxis | ggplot_multiAxis |
| LUE | Light use efficiency GPP model |
| LUE_LSWImax | cal_LSWImax works for site |
| match_varnames | reorder variables |
| n_continue | n_continue |
| nth_max | nth_max |
| PhenoAsync-package | PhenoAsync: Extract Remote Sensing Vegetation Phenology |
| Pheno_thermal | Pheno_thermal |
| plot_TIMESAT | plot_TIMESAT |
| scaleGPP_ByCoef | scaleGPP_ByCoef scaled GPP into same range of coef, by IGBP |
| writeOGR_3by3 | writeOGR_3by3 |
