NEWS.md
    cc_db_catalog() to list tables and columns in the database with descriptions (possibly formatted in markdown) by reading from new CalCOFI API endpoints: api.calcofi.io/db_tables, api.calcofi.io/db_columns.Removed non-ASCII characters to allow install of package on Windows.
Used stars::st_as_stars() to use terra::rast() SpatRaster with mapview::mapView() (vs retired raster::raster()).
Added interpolation functions pts_to_rast_idw() and rast_to_contours(). Renamed map_contours() to pts_to_contours_gam() and moved concept from “visualize” to “analyze”.
Added to cc_places:
cc_db_connect() and create_index().cc_grid to include sta_pos == 60. Renamed cc_grid_areas to cc_grid_zones with new categories for sta_shore (“nearshore” OR “offshore”) and sta_pattern (“standard”, “extended”, “historical”) per #4. Updated cc_places to have the 6 combinations of cc_grid_zones.cc_places with three categories for places: 1) CalCOFI (Core, Extended, Nearshore, Offshore); 2) Integrated Ecosystem Assessment (California Current); and 3) National Marine Sanctuary (Cordell Bank, Channel Islands, Greater Farallones, Monterey Bay, Olympic Coast). Augmented cc_grid* with missing cells to reduce slivers when intersecting.cc_grid_area -> cc_grid_areas data for showing study areas with combinations of sta_dpos nearshore (5), offshore (10) and outside (20); where area_dpos can be one of: "5", "10", "20", "5,10", "10,20" or "5,10,20"
cc_grid, cc_grid_ctrs showing the CalCOFI station sampling at varying seperation distances of station positions (sta_pos) in the CalCOFI coordinate system from nearshore (5), to offshore (10) to outside the 113 station extended repeated area (20), per Station Positions – CalCOFI}plot_depth(), streamline headings in article and descriptions in functionsplot_depth() and example data bottle_temp_depth
stations_t_degc -> bottle_temp_lonlat
get_cruises() and get_raster() for reading from the CalCOFI API.map_raster() and plot_timeseries() for visualizing.get_variables(), get_timeseries() for reading from the API at https://api.calcofi.io
get_oceano_var_aoi()) and Visualize (plot_timeseries()), plus Data (bottle, dic, stations).