Package index • mapdoapp

All functions

analysis_plot_classes_distr(): Create interactive stacked bar plots of class distribution for various scales

assign_classes_manual(): Assign classes to network dgos

assign_classes_proposed(): Assign classification with colors to network dgos

cr_profile_empty(): Create an empty cross section plot.

cr_profile_main(): Create a cross section plot for selected DGO data.

create_analysis_biplot(): Create a Biplot with Linear Regression and Statistical Annotations

create_analysis_table(): Create reactable table for metrics-statistics

create_classes_background(): Create background-layout of classes for longitudinal profile

create_df_input(): Create initial dataframe for 1-variable classification, to be displayed on the UI table

data_get_axes(): Get Network Axes Data

data_get_axis_dgos(): Get Network Metrics Data for a Specific Network Axis

data_get_axis_dgos_from_region(): Get Network Metrics Data for a Specific Region

data_get_axis_start_end(): Get the start and end coordinates of a spatial object's axis

data_get_basins(): Get Hydrographic Basins

data_get_distr_class(): Get statistics on classes distributions for different levels (france, basin, region) and a specified class

data_get_distr_class_man(): Get statistics on classes distributions for different levels (france, basin, region) and manually specified classes

data_get_elevation_profiles(): Get elevation profiles data from selected dgo fid.

data_get_hydro_sites(): Get hydrometric sites.

data_get_levels_names(): Get the names of the hydrographic basins and regions

data_get_regions(): Get hydrological regions

data_get_roe_sites(): Get Referentiel des Obstacles aux Ecoulement Data

data_get_stats_metrics(): Get statistics on network metrics for different levels (france, basin, region)

db_con(): Connection to postgresql database

lg_add_trace(): plotly add trace.

lg_annotations_layout(): plotly annotations layout.

lg_profile_empty(): Create an empty longitudinal profile plot.

lg_profile_first(): Add first metric for longitudinal profile plot for selected axis data

lg_profile_second(): Create a dual-axis longitudinal profile plot for selected axis data

lg_roe_vertical_line(): Create the ROE vertical lines for plotly shapes

lg_vertical_line(): Create a vertical dashed line annotation for longitudinal profile plots

lg_xaxis_layout(): plotly xaxis layout.

lg_yaxis_layout(): plotly yaxis layout.

map_add_axes(): Add Axis Data to an Existing Leaflet Map

map_add_axis_dgos(): Add Axis Data to an Existing Leaflet Map

map_add_axis_start_end(): Add start and end markers to a leaflet map

map_add_basemaps(): Add Basemap Layers to an Existing Leaflet Map

map_add_network(): Map the hydrographique network

map_add_network_metric(): Add a metric layer with custom symbology to the map.

map_add_wms_overlayers(): Add Overlayer Layers to an Existing Leaflet Map

map_dgo_cross_section(): Highlight DGO clicked for cross section.

map_legend_class(): Generate and display a legend for a map layer using a pre-defined style

map_legend_metric(): Generate and display a legend for a map layer using a provided SLD (Styled Layer Descriptor) body.

map_legend_wms_overlayer(): Generate and display a legend for a WMS (Web Map Service) layer overlay using specified WMS parameters.

params_classes(): Get names and description for proposed classifications

params_classes_colors(): Get classes names and colors for proposed classifications

params_get_metric_choices(): get nested list-object with all variables for Metric-selection in selectInput()-Elements

params_map_group(): Get Parameters for Map Layer Groups

params_metrics(): Get Metric parameters

params_wms(): Define Web Map Service (WMS) parameters for different map layers and basemaps.

prepare_regions_data_for_plot(): Prepare region-level data for interactive class distribution plot

prepare_regions_stats_for_table(): Prepare metrics-statistics dataframe for reactable table for regions

prepare_selact_data_for_plot(): Prepare selected data for interactive class distribution plot

prepare_selact_stats_for_table(): Prepare metrics-statistics dataframe for reactable table

run_app(): Run the Shiny Application

sld_get_style_legend(): Get Styled Layer Descriptor (SLD) for legend of manually classified network_metrics layer

smoothen_classes(): Smoothing of classified df

track_inputs(): Track input user inputs.

track_session(): Track input user session id and datetime.

utils_is_vector_identical(): Check if two vectors are identical in length and content

utils_url_remonterletemps(): get IGN remonterletemps url.