add_id_pixel_and_groups | Add id_pixel and kmeans groups from a reference dataframe.... |
aggregate_statistics | Calculate a series of stastistics on aggregated data |
apply_mask | Apply the mask to the data and remove earth pixels |
approximate_NAs | Impute NAs using mice. |
assign_id_and_melt | Given a list of data loaded using the load_all_as_list()... |
assign_id_from_reference | This function is used to assign an id to the interpolated... |
crop_selected_area | This function is used to crop a selected area from a list of... |
export_data | Extract results from the kmeans analysis |
extract_date_from_file_name | Extract date from filename |
extract_date_from_filepath | Extract date from filepath |
extract_results | Extract results from the kmeans analysis |
filter_dates_and_get_filenames | Filter a list of dates within a given interval: If the date... |
filter_out_na | Filter out data with more than n missing periods |
filter_single_date | Filter a given date within a given interval: If the date is... |
fit_random_forest | Fit a random forest model |
fix_coordinates | Check existence of a variable inside a given .nc file. If the... |
format_lon_lat | Fix latitude and longitude |
format_lon_lat_list | Align longitude and latitude values. |
get_variable_importance | Get variable importance |
interpolate_grid | Interpolate a list of dplyr dataframes |
interpolate_single_grid_multi_day | Interpolate each data grid. This function interpolates every... |
join_data | Join data together |
keep_pixels_with_group | Filter out pixels that have no group assigned |
kmeans_analysis | Run kmeans analysis |
load_all_as_list | Load all .nc files in a given local path |
load_all_csv | Load a bunch of csv files into a single list |
load_a_single_csv | Load a single .csv file and output a dplyr dataframe |
load_mask | Load the mask file as a data frame. |
load_nc_file | Load a single .nc file |
load_nc_with_time | Load .nc files that contain a time variable. |
load_variable_from_nc | Extract a single variable from a .nc file |
make_path | Make path function |
multiplot | Fit multiple plots in a single plot |
new_x | Example of reference dataframe for interpolation and join. |
partial_dependence_plot | Partial dependence plot |
plot_density_imputed_na | Plot the density of imputed NAs vs actual data |
plot_error_vs_trees | Plot model error vs number of trees |
plot_results | Plot results. |
ppdplot | Plot partial dependence plots. A revised version of the... |
predictive_map | Plot predictive map |
recover_nc_data | Load nc files to be resized. Subfunction |
reshape_data | Reshape the raw data and output into a dplyr dataframe. |
reshape_statistics | Reshape a list of dataframes from wide to long |
reshape_stats_df | Reshape a single dataframe (from wide to long) |
resize_mask | Resize the mask |
select_filenames_by_date | This function basically handles how to proceed when selecting... |
select_files_by_year | Select files to load from a given range of years. |
shift_lon_lat | Shift lon and lat |
single_partial_dependence_plot | Plot a single partial dependence plot |
standardize_data | Standardize data before running kmeans |
variable_importance_plot | Plot variable importance |
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