Make A Graph

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

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

latitude (degrees_north)

longitude (degrees_east)

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:

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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.75, 89.75;
    String axis "Y";
    String bounds "latitude_bounds";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 89.75;
    Float32 valid_min -89.75;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.25, 359.75;
    String axis "X";
    String bounds "longitude_bounds";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 359.75;
    Float32 valid_min 0.25;
  }
  Mask {
    String _Unsigned "false";
    String coordinates "latitude longitude";
    String flag_meanings "ocean land";
    Byte flag_values 0, 1;
    String long_name "Land/Ocean Spatial Mask";
    String standard_name "land binary mask";
  }
  Regionmask {
    String coordinates "latitude longitude";
    String flag_meanings "North_America Latin_America Europe North_Africa Tropical_Africa USSR China South_and_South_East_Asia Pacific_Developed Antarctica_and_Greenland";
    Int16 flag_values 1, 2, 3, 4, 5, 6, 7, 8, 9, 10;
    String long_name "The region each land grid point belongs to";
    Int16 missing_value -99;
    String standard_name "region";
  }
  Grid_area {
    String coordinates "latitude longitude";
    String long_name "Area of Land Grid cells";
    Float32 missing_value -99.0;
    String standard_name "grid_area";
    String units "m2";
    Float32 valid_max 3.088224e+9;
    Float32 valid_min 1.3475005e+7;
  }
  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";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -89.75;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.25;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"FMRC Best Dataset
2024-04-19T13:37:33Z 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
2024-04-19T13:37:33Z https://www.ncei.noaa.gov/griddap/areaveg_hh_by_latitude_longitude.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";
    Float64 Northernmost_Northing 89.75;
    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";
    Float64 Southernmost_Northing -89.75;
    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 Dimensioned By latitude, longitude.";
    String time_coverage_duration "one year";
    String time_coverage_resolution "yearly";
    String title "Historic Land Cover Change, Area Vegetation, HH By latitude, longitude";
    String vertical_levels "surface observations";
    Float64 Westernmost_Easting 0.25;
    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.