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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Vessel Density Subscribe RSS
Institution:  Cogea   (Dataset ID: humanactivities_9f8a_3389_f08a)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< - >|
< <
y (m) ?
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    -
< slider >
x (m) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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)
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    [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 1.4832288e+9, 1.6383168e+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";
  }
  y {
    Float32 actual_range 604500.0, 7034500.0;
    String axis "Y";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float32 actual_range -622500.0, 6884500.0;
    String axis "X";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  vd {
    Float32 _FillValue -9999.0;
    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 "apititto@cogea.it";
    String creator_name "Alessandro Pititto";
    String creator_type "person";
    String date_created "2022-02-09";
    String grid_mapping_esri_pe_string "PROJCS['ETRS89-extended / LAEA Europe',GEOGCS['ETRS89',DATUM['European_Terrestrial_Reference_System_1989',SPHEROID['GRS 1980',6378137,298.257222101],TOWGS84[0,0,0,0,0,0,0]],PRIMEM['Greenwich',0],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','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 "Lambert Azimuthal Equal Area";
    Float64 grid_mapping_longitude_of_projection_origin 10.0;
    String grid_mapping_name "lambert_azimuthal_equal_area";
    String history 
"created by Cogea.
2024-04-16T17:29:03Z (local files)
2024-04-16T17:29:03Z https://erddap.emodnet.eu/griddap/humanactivities_9f8a_3389_f08a.das";
    String infoUrl "???";
    String institution "Cogea";
    String keywords "cogea, data, density, 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.";
    String note "Merging multiple GeoTIFFS to NetCDF";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Vessel Density. Cogea data from a local source.";
    String time_coverage_end "2021-12-01T00:00:00Z";
    String time_coverage_start "2017-01-01T00:00:00Z";
    String title "Vessel Density";
    String version "Version 1.0";
    String website "https://emodnet.ec.europa.eu";
  }
}

 

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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