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
).