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"cerrado_2classes", "title": "Samples of classes Cerrado and Pasture", "object": "cerrado_2classes", "class": [ "sits", "tbl_df", "tbl", "data.frame" ], "fields": [ "longitude", "latitude", "start_date", "end_date", "label", "cube", "time_series" ], "rows": 746, "table": false, "tojson": true }, { "name": "point_mt_6bands", "title": "A time series sample with data from 2000 to 2016", "object": "point_mt_6bands", "class": [ "sits", "tbl_df", "tbl", "data.frame" ], "fields": [ "longitude", "latitude", "start_date", "end_date", "label", "cube", "time_series" ], "rows": 1, "table": false, "tojson": true }, { "name": "samples_l8_rondonia_2bands", "title": "Samples of Amazon tropical forest biome for deforestation analysis", "object": "samples_l8_rondonia_2bands", "class": [ "sits", "tbl_df", "tbl", "data.frame" ], "fields": [ "longitude", "latitude", "start_date", "end_date", "label", "cube", "time_series" ], "rows": 160, "table": false, "tojson": true }, { "name": "samples_modis_ndvi", "title": "Samples of nine classes for the state of Mato Grosso", "object": "samples_modis_ndvi", "class": [ "sits", "tbl_df", "tbl", "data.frame" ], "fields": [ "longitude", "latitude", "start_date", "end_date", "label", "cube", "time_series" ], "rows": 1218, "table": false, "tojson": true } ], "_help": [ { "page": "sits-package", "title": "sits", "topics": [ "sits-package", "sits" ] }, { "page": "cerrado_2classes", "title": "Samples of classes Cerrado and Pasture", "topics": [ "cerrado_2classes" ] }, { "page": "hist.probs_cube", "title": "histogram of prob cubes", "topics": [ "hist.probs_cube" ] }, { "page": "hist.raster_cube", "title": "histogram of data cubes", "topics": [ "hist.raster_cube" ] }, { "page": "hist.sits", "title": "Histogram", "topics": [ "hist.sits" ] }, { "page": "hist.uncertainty_cube", "title": "Histogram uncertainty cubes", "topics": [ "hist.uncertainty_cube" ] }, { "page": "impute_linear", "title": "Replace NA values by linear interpolation", "topics": [ "impute_linear" ] }, { "page": "impute_mean", "title": "Remove NA using mean", "topics": [ "impute_mean" ] }, { "page": "impute_mean_window", "title": "Remove NA using weighted moving average", "topics": [ "impute_mean_window" ] }, { "page": "impute_median", "title": "Remove NA using median", "topics": [ "impute_median" ] }, { "page": "plot", "title": "Plot time series and data cubes", "topics": [ "plot", "plot.sits" ] }, { "page": "plot.class_cube", "title": "Plot classified images", "topics": [ "plot.class_cube" ] }, { "page": "plot.class_vector_cube", "title": "Plot Segments", "topics": [ "plot.class_vector_cube" ] }, { "page": "plot.dem_cube", "title": "Plot DEM cubes", "topics": [ "plot.dem_cube" ] }, { "page": "plot.geo_distances", "title": "Make a kernel density plot of samples distances.", "topics": [ "plot.geo_distances" ] }, { "page": "plot.patterns", "title": "Plot patterns that describe classes", "topics": [ "plot.patterns" ] }, { "page": "plot.predicted", "title": "Plot time series predictions", "topics": [ "plot.predicted" ] }, { "page": "plot.probs_cube", "title": "Plot probability cubes", "topics": [ "plot.probs_cube" ] }, { "page": "plot.probs_vector_cube", "title": "Plot probability vector cubes", "topics": [ "plot.probs_vector_cube" ] }, { "page": "plot.raster_cube", "title": "Plot RGB data cubes", "topics": [ "plot.raster_cube" ] }, { "page": "plot.rfor_model", "title": "Plot Random Forest model", "topics": [ "plot.rfor_model" ] }, { "page": "plot.sar_cube", "title": "Plot SAR data cubes", "topics": [ "plot.sar_cube" ] }, { "page": "plot.sits_accuracy", "title": "Plot confusion matrix", "topics": [ "plot.sits_accuracy" ] }, { "page": "plot.sits_cluster", "title": "Plot a dendrogram cluster", "topics": [ "plot.sits_cluster" ] }, { "page": "plot.sits_model", "title": "Message for models whose plots are not available", "topics": [ "plot.sits_model" ] }, { "page": "plot.som_clean_samples", "title": "Plot SOM samples evaluated", "topics": [ "plot.som_clean_samples" ] }, { "page": "plot.som_evaluate_cluster", "title": "Plot confusion between clusters", "topics": [ "plot.som_evaluate_cluster" ] }, { "page": "plot.som_map", "title": "Plot a SOM map", "topics": [ "plot.som_map" ] }, { "page": "plot.torch_model", "title": "Plot Torch (deep learning) model", "topics": [ "plot.torch_model" ] }, { "page": "plot.uncertainty_cube", "title": "Plot uncertainty cubes", "topics": [ "plot.uncertainty_cube" ] }, { "page": "plot.uncertainty_vector_cube", "title": "Plot uncertainty vector cubes", "topics": [ "plot.uncertainty_vector_cube" ] }, { "page": "plot.variance_cube", "title": "Plot variance cubes", "topics": [ "plot.variance_cube" ] }, { "page": "plot.vector_cube", "title": "Plot RGB vector data cubes", "topics": [ "plot.vector_cube" ] }, { "page": "plot.xgb_model", "title": "Plot XGB model", "topics": [ "plot.xgb_model" ] }, { "page": "point_mt_6bands", "title": "A time series sample with data from 2000 to 2016", "topics": [ "point_mt_6bands" ] }, { "page": "samples_l8_rondonia_2bands", "title": "Samples of Amazon tropical forest biome for deforestation analysis", "topics": [ "samples_l8_rondonia_2bands" ] }, { "page": "samples_modis_ndvi", "title": "Samples of nine classes for the state of Mato Grosso", "topics": [ "samples_modis_ndvi" ] }, { "page": "sits_accuracy", "title": "Assess classification accuracy", "topics": [ "sits_accuracy", "sits_accuracy.class_cube", "sits_accuracy.class_vector_cube", "sits_accuracy.default", "sits_accuracy.derived_cube", "sits_accuracy.raster_cube", "sits_accuracy.sits", "sits_accuracy.tbl_df" ] }, { "page": "sits_add_base_cube", "title": "Add base maps to a time series data cube", "topics": [ "sits_add_base_cube" ] }, { "page": "sits_apply", "title": "Apply a function on a set of time series", "topics": [ "sits_apply", "sits_apply.default", "sits_apply.derived_cube", "sits_apply.raster_cube", "sits_apply.sits" ] }, { "page": "sits_as_sf", "title": "Return a sits_tibble or raster_cube as an sf object.", "topics": [ "sits_as_sf", "sits_as_sf.default", "sits_as_sf.raster_cube", "sits_as_sf.sits", "sits_as_sf.vector_cube" ] }, { "page": "sits_as_stars", "title": "Convert a data cube into a stars object", "topics": [ "sits_as_stars" ] }, { "page": "sits_as_terra", "title": "Convert a data cube into a Spatial Raster object from terra", "topics": [ "sits_as_terra", "sits_as_terra.class_cube", "sits_as_terra.probs_cube", "sits_as_terra.raster_cube", "sits_as_terra.uncertainty_cube", "sits_as_terra.variance_cube" ] }, { "page": "sits_bands", "title": "Get the names of the bands", "topics": [ "sits_bands", "sits_bands.default", "sits_bands.patterns", "sits_bands.raster_cube", "sits_bands.sits", "sits_bands.sits_model", "sits_bands<-", "sits_bands<-.default", "sits_bands<-.raster_cube", "sits_bands<-.sits" ] }, { "page": "sits_bbox", "title": "Get the bounding box of the data", "topics": [ "sits_bbox", "sits_bbox.default", "sits_bbox.raster_cube", "sits_bbox.sits", "sits_bbox.tbl_df" ] }, { "page": "sits_classify", "title": "Classify time series or data cubes", "topics": [ "sits_classify", "sits_classify.default", "sits_classify.derived_cube", "sits_classify.tbl_df" ] }, { "page": "sits_classify.raster_cube", "title": "Classify a regular raster cube", "topics": [ "sits_classify.raster_cube" ] }, { "page": "sits_classify.sits", "title": "Classify a set of time series", "topics": [ "sits_classify.sits" ] }, { "page": "sits_classify.vector_cube", "title": "Classify a segmented data cube", "topics": [ "sits_classify.vector_cube" ] }, { "page": "sits_clean", "title": "Cleans a classified map using a local window", "topics": [ "sits_clean", "sits_clean.class_cube", "sits_clean.default", "sits_clean.derived_cube", "sits_clean.raster_cube" ] }, { "page": "sits_cluster_clean", "title": "Removes labels that are minority in each cluster.", "topics": [ "sits_cluster_clean" ] }, { "page": "sits_cluster_dendro", "title": "Find clusters in time series samples", "topics": [ "sits_cluster_dendro" ] }, { "page": "sits_cluster_frequency", "title": "Show label frequency in each cluster produced by dendrogram analysis", "topics": [ "sits_cluster_frequency" ] }, { "page": "sits_colors", "title": "Function to retrieve sits color table", "topics": [ "sits_colors" ] }, { "page": "sits_colors_qgis", "title": "Function to save color table as QML style for data cube", "topics": [ "sits_colors_qgis", "sits_colors_qgis.class_cube", "sits_colors_qgis.class_vector_cube" ] }, { "page": "sits_colors_reset", "title": "Function to reset sits color table", "topics": [ "sits_colors_reset" ] }, { "page": "sits_colors_set", "title": "Function to set sits color table", "topics": [ "sits_colors_set" ] }, { "page": "sits_colors_show", "title": "Function to show colors in SITS", "topics": [ "sits_colors_show" ] }, { "page": "sits_combine_predictions", "title": "Estimate ensemble prediction based on list of probs cubes", "topics": [ "sits_combine_predictions", "sits_combine_predictions.average", "sits_combine_predictions.default", "sits_combine_predictions.uncertainty" ] }, { "page": "sits_confidence_sampling", "title": "Suggest high confidence samples to increase the training set.", "topics": [ "sits_confidence_sampling" ] }, { "page": "sits_config", "title": "Configure parameters for sits package", "topics": [ "sits_config" ] }, { "page": "sits_config_show", "title": "Show current sits configuration", "topics": [ "sits_config_show" ] }, { "page": "sits_config_user_file", "title": "Create a user configuration file.", "topics": [ "sits_config_user_file" ] }, { "page": "sits_cube", "title": "Create data cubes from image collections", "topics": [ "sits_cube" ] }, { "page": "sits_cube_copy", "title": "Copy the images of a cube to a local directory", "topics": [ "sits_cube_copy" ] }, { "page": "sits_cube.local_cube", "title": "Create sits cubes from cubes in flat files in a local", "topics": [ "sits_cube.local_cube" ] }, { "page": "sits_cube.results_cube", "title": "Create a results cube from local files", "topics": [ "sits_cube.results_cube" ] }, { "page": "sits_cube.stac_cube", "title": "Create data cubes from image collections accessible by STAC", "topics": [ "sits_cube.stac_cube" ] }, { "page": "sits_cube.vector_cube", "title": "Create a vector cube from local files", "topics": [ "sits_cube.vector_cube" ] }, { "page": "sits_factory_function", "title": "Create a closure for calling functions with and without data", "topics": [ "sits_factory_function" ] }, { "page": "sits_filter", "title": "Filter time series with smoothing filter", "topics": [ "sits_filter" ] }, { "page": "sits_formula_linear", "title": "Define a linear formula for classification models", "topics": [ "sits_formula_linear" ] }, { "page": "sits_formula_logref", "title": "Define a loglinear formula for classification models", "topics": [ "sits_formula_logref" ] }, { "page": "sits_geo_dist", "title": "Compute the minimum distances among samples and prediction points.", "topics": [ "sits_geo_dist" ] }, { "page": "sits_get_class", "title": "Get values from classified maps", "topics": [ "sits_get_class", "sits_get_class.csv", "sits_get_class.data.frame", "sits_get_class.default", "sits_get_class.sf", "sits_get_class.shp", "sits_get_class.sits" ] }, { "page": "sits_get_data", "title": "Get time series from data cubes and cloud services", "topics": [ "sits_get_data", "sits_get_data.default" ] }, { "page": "sits_get_data.csv", "title": "Get time series using CSV files", "topics": [ "sits_get_data.csv" ] }, { "page": "sits_get_data.data.frame", "title": "Get time series using sits objects", "topics": [ "sits_get_data.data.frame" ] }, { "page": "sits_get_data.sf", "title": "Get time series using sf objects", "topics": [ "sits_get_data.sf" ] }, { "page": "sits_get_data.shp", "title": "Get time series using shapefiles", "topics": [ "sits_get_data.shp" ] }, { "page": "sits_get_data.sits", "title": "Get time series using sits objects", "topics": [ "sits_get_data.sits" ] }, { "page": "sits_get_probs", "title": "Get values from probability maps", "topics": [ "sits_get_probs", "sits_get_probs.csv", "sits_get_probs.data.frame", "sits_get_probs.default", "sits_get_probs.sf", "sits_get_probs.shp", "sits_get_probs.sits" ] }, { "page": "sits_impute", "title": "Replace NA values in time series with imputation function", "topics": [ "sits_impute" ] }, { "page": "sits_kfold_validate", "title": "Cross-validate time series samples", "topics": [ "sits_kfold_validate" ] }, { "page": "sits_label_classification", "title": "Build a labelled image from a probability cube", "topics": [ "sits_label_classification", "sits_label_classification.default", "sits_label_classification.derived_cube", "sits_label_classification.probs_cube", "sits_label_classification.probs_vector_cube", "sits_label_classification.raster_cube" ] }, { "page": "sits_labels", "title": "Get labels associated to a data set", "topics": [ "sits_labels", "sits_labels.default", "sits_labels.derived_cube", "sits_labels.derived_vector_cube", "sits_labels.patterns", "sits_labels.raster_cube", "sits_labels.sits", "sits_labels.sits_model" ] }, { "page": "sits_labels_summary", "title": "Inform label distribution of a set of time series", "topics": [ "sits_labels_summary", "sits_labels_summary.sits" ] }, { "page": "sits_labels-set", "title": "Change the labels of a set of time series", "topics": [ "sits_labels<-" ] }, { "page": "sits_labels-set-.class_cube", "title": "Change the labels of a classified raster cube", "topics": [ "sits_labels<-.class_cube" ] }, { "page": "sits_labels-set-.class_vector_cube", "title": "Change the labels of a class vector data cube", "topics": [ "sits_labels<-.class_vector_cube" ] }, { "page": "sits_labels-set-.default", "title": "Change the labels of other data structures", "topics": [ "sits_labels<-.default" ] }, { "page": "sits_labels-set-.probs_cube", "title": "Change the labels of a probs raster cube", "topics": [ "sits_labels<-.probs_cube" ] }, { "page": "sits_labels-set-.probs_vector_cube", "title": "Change the labels of a probs vector data cube", "topics": [ "sits_labels<-.probs_vector_cube" ] }, { "page": "sits_labels-set-.sits", "title": "Change the labels of a set of time series", "topics": [ "sits_labels<-.sits" ] }, { "page": "sits_lightgbm", "title": "Train light gradient boosting model", "topics": [ "sits_lightgbm" ] }, { "page": "sits_lighttae", "title": "Train a model using Lightweight Temporal Self-Attention Encoder", "topics": [ "sits_lighttae" ] }, { "page": "sits_list_collections", "title": "List the cloud collections supported by sits", "topics": [ "sits_list_collections" ] }, { "page": "sits_lstm_fcn", "title": "Train a Long Short Term Memory Fully Convolutional Network", "topics": [ "sits_lstm_fcn" ] }, { "page": "sits_merge", "title": "Merge two data sets (time series or cubes)", "topics": [ "sits_merge", "sits_merge.default", "sits_merge.raster_cube", "sits_merge.sits" ] }, { "page": "sits_mgrs_to_roi", "title": "Convert MGRS tile information to ROI in WGS84", "topics": [ "sits_mgrs_to_roi" ] }, { "page": "sits_mixture_model", "title": "Multiple endmember spectral mixture analysis", "topics": [ "sits_mixture_model", "sits_mixture_model.default", "sits_mixture_model.derived_cube", "sits_mixture_model.raster_cube", "sits_mixture_model.sits", "sits_mixture_model.tbl_df" ] }, { "page": "sits_mlp", "title": "Train multi-layer perceptron models using torch", "topics": [ "sits_mlp" ] }, { "page": "sits_model_export", "title": "Export classification models", "topics": [ "sits_model_export", "sits_model_export.sits_model" ] }, { "page": "sits_mosaic", "title": "Mosaic classified cubes", "topics": [ "sits_mosaic" ] }, { "page": "sits_patterns", "title": "Find temporal patterns associated to a set of time series", "topics": [ "sits_patterns" ] }, { "page": "sits_pred_features", "title": "Obtain numerical values of predictors for time series samples", "topics": [ "sits_pred_features" ] }, { "page": "sits_pred_normalize", "title": "Normalize predictor values", "topics": [ "sits_pred_normalize" ] }, { "page": "sits_pred_references", "title": "Obtain categorical id and predictor labels for time series samples", "topics": [ "sits_pred_references" ] }, { "page": "sits_pred_sample", "title": "Obtain a fraction of the predictors data frame", "topics": [ "sits_pred_sample" ] }, { "page": "sits_predictors", "title": "Obtain predictors for time series samples", "topics": [ "sits_predictors" ] }, { "page": "sits_reclassify", "title": "Reclassify a classified cube", "topics": [ "sits_reclassify", "sits_reclassify.class_cube", "sits_reclassify.default" ] }, { "page": "sits_reduce", "title": "Reduces a cube or samples from a summarization function", "topics": [ "sits_reduce", "sits_reduce.raster_cube", "sits_reduce.sits" ] }, { "page": "sits_reduce_imbalance", "title": "Reduce imbalance in a set of samples", "topics": [ "sits_reduce_imbalance" ] }, { "page": "sits_regularize", "title": "Build a regular data cube from an irregular one", "topics": [ "sits_regularize", "sits_regularize.combined_cube", "sits_regularize.default", "sits_regularize.dem_cube", "sits_regularize.derived_cube", "sits_regularize.ogh_cube", "sits_regularize.rainfall_cube", "sits_regularize.raster_cube", "sits_regularize.sar_cube" ] }, { "page": "sits_resnet", "title": "Train ResNet classification models", "topics": [ "sits_resnet" ] }, { "page": "sits_rfor", "title": "Train random forest models", "topics": [ "sits_rfor" ] }, { "page": "sits_roi_to_mgrs", "title": "Given a ROI, find MGRS tiles intersecting it.", "topics": [ "sits_roi_to_mgrs" ] }, { "page": "sits_roi_to_tiles", "title": "Find tiles of a given ROI and Grid System", "topics": [ "sits_roi_to_tiles" ] }, { "page": "sits_run_examples", "title": "Informs if sits examples should run", "topics": [ "sits_run_examples" ] }, { "page": "sits_run_tests", "title": "Informs if sits tests should run", "topics": [ "sits_run_tests" ] }, { "page": "sits_sample", "title": "Sample a percentage of a time series", "topics": [ "sits_sample" ] }, { "page": "sits_sampling_design", "title": "Allocation of sample size to strata", "topics": [ "sits_sampling_design" ] }, { "page": "sits_segment", "title": "Segment an image", "topics": [ "sits_segment" ] }, { "page": "sits_select", "title": "Filter a data set (tibble or cube) for bands, tiles, and dates", "topics": [ "sits_select", "sits_select.default", "sits_select.raster_cube", "sits_select.sits" ] }, { "page": "sits_sgolay", "title": "Filter time series with Savitzky-Golay filter", "topics": [ "sits_sgolay" ] }, { "page": "sits_slic", "title": "Segment an image using SLIC", "topics": [ "sits_slic" ] }, { "page": "sits_smooth", "title": "Smooth probability cubes with spatial predictors", "topics": [ "sits_smooth", "sits_smooth.default", "sits_smooth.derived_cube", "sits_smooth.probs_cube", "sits_smooth.probs_vector_cube", "sits_smooth.raster_cube" ] }, { "page": "sits_snic", "title": "Segment an image using SNIC", "topics": [ "sits_snic" ] }, { "page": "sits_som_clean_samples", "title": "Cleans the samples based on SOM map information", "topics": [ "sits_som_clean_samples" ] }, { "page": "sits_som_evaluate_cluster", "title": "Evaluate cluster", "topics": [ "sits_som_evaluate_cluster" ] }, { "page": "sits_som_map", "title": "Build a SOM for quality analysis of time series samples", "topics": [ "sits_som_map" ] }, { "page": "sits_som_remove_samples", "title": "Evaluate cluster", "topics": [ "sits_som_remove_samples" ] }, { "page": "sits_stats", "title": "Obtain statistics for all sample bands", "topics": [ "sits_stats" ] }, { "page": "sits_stratified_sampling", "title": "Allocation of sample size to strata", "topics": [ "sits_stratified_sampling" ] }, { "page": "sits_svm", "title": "Train support vector machine models", "topics": [ "sits_svm" ] }, { "page": "sits_tae", "title": "Train a model using Temporal Self-Attention Encoder", "topics": [ "sits_tae" ] }, { "page": "sits_tempcnn", "title": "Train temporal convolutional neural network models", "topics": [ "sits_tempcnn" ] }, { "page": "sits_texture", "title": "Apply a set of texture measures on a data cube.", "topics": [ "sits_texture", "sits_texture.default", "sits_texture.derived_cube", "sits_texture.raster_cube" ] }, { "page": "sits_tiles_to_roi", "title": "Convert MGRS tile information to ROI in WGS84", "topics": [ "sits_tiles_to_roi" ] }, { "page": "sits_timeline", "title": "Get timeline of a cube or a set of time series", "topics": [ "sits_timeline", "sits_timeline.default", "sits_timeline.derived_cube", "sits_timeline.raster_cube", "sits_timeline.sits", "sits_timeline.sits_model", "sits_timeline.tbl_df" ] }, { "page": "sits_timeseries_to_csv", "title": "Export a a full sits tibble to the CSV format", "topics": [ "sits_timeseries_to_csv" ] }, { "page": "sits_to_csv", "title": "Export a sits 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