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Part 1: Document Description
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Citation |
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Title: |
Köppen-Geiger Climate Classifications by United States administrative boundaries |
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Identification Number: |
doi:10.7910/DVN/BG0OHO |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-05-01 |
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Version: |
1 |
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Bibliographic Citation: |
Audirac, Michelle, 2024, "Köppen-Geiger Climate Classifications by United States administrative boundaries", https://doi.org/10.7910/DVN/BG0OHO, Harvard Dataverse, V1, UNF:6:9ltwF8jHVJK6CJJGd7bTJA== [fileUNF] |
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Citation |
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Title: |
Köppen-Geiger Climate Classifications by United States administrative boundaries |
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Identification Number: |
doi:10.7910/DVN/BG0OHO |
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Authoring Entity: |
Audirac, Michelle (Harvard University) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Audirac, Michelle |
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Depositor: |
Audirac, Michelle |
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Date of Deposit: |
2024-03-30 |
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Holdings Information: |
https://doi.org/10.7910/DVN/BG0OHO |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Social Sciences, Climate, Climate Indicator |
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Abstract: |
This dataset provides spatial aggregations of Köppen-Geiger climate classifications for US counties and ZIP Code Tabulation Areas (ZCTA). The spatial aggregations are performed for climate classification information going from approximately 1-km gridded global raster data (geoTIFF) to US polygon features (shapefile). <br> <br> The datasets include the predominant 2015 climate classification by area for each county and ZCTA, as well as the percentage area covered by each climate type. |
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Time Period: |
2015-2015 |
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Country: |
United States |
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Geographic Unit(s): |
County, ZIP Code Tabulation Area (ZCTA) |
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Notes: |
When using this dataset in published works, please cite <b>both</b> this dataset (https://doi.org/10.7910/DVN/BG0OHO) and the source dataset included in the Metadata About Data Sources section below. |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
See Metadata About Data Sources below. |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a> |
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Other Study Description Materials |
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Related Studies |
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https://doi.org/10.6084/m9.figshare.6396959 |
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https://doi.org/10.1038/sdata.2018.214 |
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File Description--f9875244 |
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File: data_dictionary.tab |
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Notes: |
UNF:6:9ltwF8jHVJK6CJJGd7bTJA== |
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List of Variables: |
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Variables |
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f9875244 Location: |
Variable Format: character Notes: UNF:6:kBDiBI5VIKx+aQGSkJB3+g== |
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f9875244 Location: |
Variable Format: character Notes: UNF:6:2CPsrmyIIGW23/l0Hk2dlQ== |
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f9875244 Location: |
Variable Format: character Notes: UNF:6:y7+WSu7HXeceY5k+CRCC1w== |
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Label: |
cb_2015_us_county_20m.zip |
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Notes: |
application/zip |
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Label: |
cb_2015_us_zcta510_500k.zip |
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Notes: |
application/zip |
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Label: |
climate_keys.yaml |
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Notes: |
application/x-yaml |
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Label: |
climate_types_county_2015.parquet |
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Notes: |
application/octet-stream |
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Label: |
climate_types_zcta_2015.parquet |
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Notes: |
application/octet-stream |
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Label: |
readme.md |
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Notes: |
text/markdown |