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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Vessel Density Subscribe RSS
Institution:  Flanders Marine Institute   (Dataset ID: humanactivities_e929_c26d_18a2)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< - >|
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5778368e+9, 1.6067808e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 605000.0, 7035000.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -623000.0, 6884000.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  vd {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 400.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Vessel density";
    Float32 missing_value -9999.0;
    String units "seconds";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "frederic.leclercq@vliz.be";
    String creator_name "Frederic Leclercq";
    String creator_type "person";
    String date_created "2023-07-07";
    Float64 Easternmost_Easting 6884000.0;
    Float64 geospatial_lat_max 7035000.0;
    Float64 geospatial_lat_min 605000.0;
    Float64 geospatial_lat_resolution 1000.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6884000.0;
    Float64 geospatial_lon_min -623000.0;
    Float64 geospatial_lon_resolution 1000.0;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_crs_wkt "PROJCS[\"ETRS89 / LAEA Europe\",GEOGCS[\"ETRS89\",DATUM[\"European_Terrestrial_Reference_System_1989\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6258\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4258\"]],PROJECTION[\"Lambert_Azimuthal_Equal_Area\"],PARAMETER[\"latitude_of_center\",52],PARAMETER[\"longitude_of_center\",10],PARAMETER[\"false_easting\",4321000],PARAMETER[\"false_northing\",3210000],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AUTHORITY[\"EPSG\",\"3035\"]]";
    Float64 grid_mapping_false_easting 4321000.0;
    Float64 grid_mapping_false_northing 3210000.0;
    Float64 grid_mapping_latitude_of_projection_origin 52.0;
    String grid_mapping_long_name "Coordinate Reference System";
    Float64 grid_mapping_longitude_of_prime_meridian 0;
    Float64 grid_mapping_longitude_of_projection_origin 10.0;
    String grid_mapping_name "lambert_azimuthal_equal_area";
    String history 
"created by VLIZ.
2024-02-20T23:28:51Z (local files)
2024-02-20T23:28:51Z https://erddap.emodnet.eu/griddap/humanactivities_e929_c26d_18a2.das";
    String infoUrl "???";
    String institution "Flanders Marine Institute";
    String keywords "data, density, flanders, institute, marine, time, vessel";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 7035000.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 605000.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Vessel Density. Flanders Marine Institute data from a local source.";
    String time_coverage_end "2020-12-01T00:00:00Z";
    String time_coverage_start "2020-01-01T00:00:00Z";
    String title "Vessel Density";
    String version "Version 1.0";
    String website "http://vliz.be";
    Float64 Westernmost_Easting -623000.0;
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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