Make A Graph

Dataset Title:	Historic Land Cover Change, Area Vegetation, HH time_bounds By time, bounds_dim
Institution:	University of Illinois at Urbana-Champaign (Dataset ID: areaveg_hh_by_time_bounds_dim)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

bounds_dim (count)

specify just 1 value →

Graph Settings

Marker Type:

Size:

Color:

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)
and

or view the URL:
(Documentation / Bypass this form

)

Time range:

[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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.2798112e+9, 1.1360736e+9;
    String axis "T";
    String bounds "time_bounds";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    Float64 missing_value NaN;
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  bounds_dim {
    Int16 actual_range 0, 1;
    String units "count";
  }
  time_bounds {
    String long_name "bounds for time";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String acknowledgement "This work was supported by National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change Program (No. NNX08AK75G)";
    String cdm_data_type "Grid";
    String Comment "Cropland and Pastureland Data Source used in this netcdf file: Houghton (2008) - Based on deforestation rates from FAO (2005)";
    String contributor_role "Principle Investigator and originator";
    String Conventions "CF-1.4";
    String creator_email "meiyapp2@illinois.edu";
    String creator_name "Prasanth Meiyappan";
    String creator_url "http://www.atmos.illinois.edu/~meiyapp2";
    String data_set_progress "complete";
    String date_created "2013-08-30T23:00:14Z";
    String date_modified "2013-08-30T23:00:14Z";
    String history 
"FMRC Best Dataset
2024-12-07T15:05:05Z https://www.ncei.noaa.gov/thredds/dodsC/ncFC/sat/landcover-HHAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection_best.ncd
2024-12-07T15:05:05Z https://www.ncei.noaa.gov/griddap/areaveg_hh_by_time_bounds_dim.das";
    String id "land-cover_hh_landcover_yr2004.nc";
    String infoUrl "https://www.ncei.noaa.gov/thredds/catalog/ncFC/sat/landcover-HHAREAVEG-fc/catalog.html?dataset=ncFC/sat/landcover-HHAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection_best.ncd";
    String institution "University of Illinois at Urbana-Champaign";
    String Keywords "EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > AFFORESTATION/REFORESTATION, EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > REFORESTATION, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > AGRICULTURAL LANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > DESERTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > GRASSLANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > SHRUBLAND/SCRUB, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > URBAN LANDS, EARTH SCIENCE > BIOSPHERE > VEGETATION > AFFORESTATION/REFORESTATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DECIDUOUS VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DOMINANT SPECIES, EARTH SCIENCE > BIOSPHERE > VEGETATION > EVERGREEN VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER, EARTH SCIENCE > BIOSPHERE > VEGETATION > REFORESTATION, EARTH SCIENCE > HUMAN DIMENSIONS > HUMAN SETTLEMENTS > URBAN AREAS, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND COVER, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE/LAND COVER CLASSIFICATION, EARTH SCIENCE > LAND SURFACE > LANDSCAPE > REFORESTATION";
    String keywords_vocabulary "NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 8.0";
    String license "No constraints on data access or use";
    String location "Proto fmrc:Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection";
    String metadata_link "gov.noaa.ncdc:C00814";
    String naming_authority "gov.noaa.ncdc";
    String references "https://dx.doi.org/10.1007/s11707-012-0314-2, https://dx.doi.org/10.1111/gcb.12207";
    String source "model";
    String sourceUrl "https://www.ncei.noaa.gov/thredds/dodsC/ncFC/sat/landcover-HHAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection_best.ncd";
    String spatial_coverage "Global";
    String spatial_domain "land only; all ocean grid cells have been filled with the specified missing values";
    String spatial_resolution "0.5x0.5 degrees lat/lon";
    String standard_name_vocabulary "CF Standard name Table (v25, 05 July 2013)";
    String summary "Historic Land Cover Change, Area Vegetation, HH time_bounds Dimensioned By time, bounds_dim.";
    String time_coverage_duration "one year";
    String time_coverage_end "2006-01-01T00:00:00Z";
    String time_coverage_resolution "yearly";
    String time_coverage_start "1771-01-01T00:00:00Z";
    String title "Historic Land Cover Change, Area Vegetation, HH time_bounds By time, bounds_dim";
    String vertical_levels "surface observations";
    String years_of_record "1770/01 -2005/12";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a data variable name (e.g., sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][altitude][latitude][longitude]).

For details, see the griddap Documentation.

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