Package index • tbeploads

Analyze data

Functions for analyzing data.

anlz_ad(): Calculate AD loads and summarize

anlz_dps(): Calculate DPS reuse and end of pipe loads and summarize

anlz_dps_facility(): Calculate DPS reuse and end of pipe loads from raw facility data

anlz_ips(): Calculate IPS loads and summarize

anlz_ips_facility(): Calculate IPS loads from raw facility data

anlz_ml(): Calculate material loss (ML) loads and summarize

anlz_ml_facility(): Calculate material loss (ML) loads from raw facility data

anlz_nps(): Calculate non-point source (NPS) loads for Tampa Bay

anlz_nps_gaged(): Calculate non-point source (NPS) loads for gaged basins

anlz_nps_ungaged(): Estimated non-point source (NPS) ungaged loads

Internal datasets

Supporting datasets used by the other functions.

ad_distance: Data frame of distances of segment locations to National Weather Service (NWS) sites

allflo: Data frame of all flow data used in anlz_nps_gaged and anlz_nps_ungaged

allwq: Data frame of all water quality data used in anlz_nps_gaged

clucsid: Lookup table for FLUCCSCODE conversion to CLUCSID and IMPROVED

dbasing: Basin information for coastal subbasin codes

emc: Event Mean Concentration (EMC) data for CLUCSID in Tampa Bay

facilities: Domestic and industrial point source facilities, including industrial with material losses

nps_distance: Data frame of distances of drainage basin locations to National Weather Service (NWS) sites

rain: Data frame of daily rainfall data from NOAA NCDC National Weather Service (NWS) sites from 2017 to 2023

rain_historic: Data frame of historical daily rainfall datas

rcclucsid: Lookup table for CLUCSID runoff coefficients

tbbase: Combined spatial data required for non-point source (NPS) ungaged estimate

tbdbasin: Simple feature polygons major drainage basins in the Tampa Bay Estuary Program boundary

tbfullshed: Simple features polygon for the Tampa Bay Estuary Program boundary

tbjuris: Simple feature polygons of jurisdictional boundaries in the Tampa Bay Estuary Program boundary

tblu2023: Simple feature polygons of 2023 land use in the Tampa Bay Estuary Program boundary

tbsoil: Simple feature polygons of soil data in the Tampa Bay Estuary Program boundary

tbsubshed: Simple feature polygons of sub-watersheds in the Tampa Bay Estuary Program boundary

usgsflow: Data frame of USGS stream flow data from the USGS NWIS database for 2021 to 2023

Utility functions

Utility functions used by other functions.

util_getrain(): Get rainfall data at NOAA NCDC sites for atmospheric deposition and non-point source ungaged calculations

util_nps_fillmiswq(): Fill in missing water quality values for non-point source (NPS) data

util_nps_getextflow(): Get external flow data not from USGS for NPS calculations

util_nps_getflow(): Get flow data from for NPS calculations at gaged sites

util_nps_getswfwmd(): Retrieve non-point source (NPS) supporting data from SWFWMD web services

util_nps_getusgsflow(): Get flow data from USGS for NPS calculations

util_nps_getwq(): Get water quality data for NPS gaged flows

util_nps_landsoil(): Utility function for non-point source (NPS) ungaged workflow to create land use and soil data

util_nps_landsoilrc(): Utility function to create non-point source (NPS) ungaged land use and soil runoff coefficients

util_nps_lusumm(): Summarize non-point source (NPS) ungaged loads by land use

util_nps_preplog(): Utility function for non-point source (NPS) ungaged workflow to prepare land use and soil data for logistic regression

util_nps_preprain(): Prep rain data for non-point source (NPS) ungaged load estimates

util_nps_segment(): Create bay segment column for non-point source (NPS) load data

util_nps_tbbase(): Create unioned base layer for non-point source (NPS) ungaged load estimation in the Tampa Bay watershed

util_nps_union(): Fast Spatial Intersection and Union Using GDAL

util_nps_unionchunk(): Helper function for union operation

util_nps_unionnochunk(): Helper function for union operation

util_prepverna(): Prep Verna Wellfield data for use in AD and NPS calculations

util_ps_addcol(): Add column names for point source data from raw entity data

util_ps_checkfls(): Create a data frame of formatting issues with point source input files

util_ps_checkuni(): Check units for point source from raw entity data

util_ps_facinfo(): Get point source entity information from file name

util_ps_fillmis(): Fill missing point source data with annual average

util_ps_fixoutfall(): Light edits to the outfall ID column for point source data

util_summ(): Summarize load estimates