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Western US 30m Heatload Values

Metadata Updated: July 6, 2024

Heat load, a unitless value from 0 (low incident radiation) to around 1 (high incident radiation), is calculated using aspect, slope, and latitude (McCune and Dylan 2002 ). For the purposes of the exploration tool, the data are binned into 6 classes using Geometric Interval. Classes range from very low to very high and are designed to allow the classification of a polygon into its heat load types.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/e8c5274880a3cdc1950883b8af0ae3b7
Identifier USGS:5a53e3f6e4b01e7be23087c7
Data Last Modified 20200819
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id dcbf3ba5-3fec-4e28-873f-bc19594e13c7
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -133.425542796,27.4387277062,-101.448731733,52.0089108418
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash d5a3ccd8b02b6adb7b5f68b834060294cb9042876ccf082129a8126ce5d41eae
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -133.425542796, 27.4387277062, -133.425542796, 52.0089108418, -101.448731733, 52.0089108418, -101.448731733, 27.4387277062, -133.425542796, 27.4387277062}

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