Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas
This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models.
This page includes the following files:
tourism_input_data.zip - a zip file containing input data sets used by the tourism Python code
tourism_output.zip - a zip file with output produced by the tourism Python code
README.txt - a README file describing the data files and code requirements
tourism_study_code.zip - a zip file containing the Python code used to create the tourism feature variable
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Scott Paulinski",
"@type": "vcard:Contact",
"hasEmail": "mailto:spaulinski@usgs.gov"
}
|
| description | This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip - a zip file containing input data sets used by the tourism Python code tourism_output.zip - a zip file with output produced by the tourism Python code README.txt - a README file describing the data files and code requirements tourism_study_code.zip - a zip file containing the Python code used to create the tourism feature variable |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9FUL880",
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6462530ad34ec179a83b5007 |
| keyword |
[
"Alabama",
"Arizona",
"Arkansas",
"California",
"Colorado",
"Connecticut",
"Conterminous United States",
"Delaware",
"District of Columbia",
"Florida",
"Georgia",
"Idaho",
"Illinois",
"Indiana",
"Iowa",
"Kansas",
"Kentucky",
"Louisiana",
"Maine",
"Maryland",
"Massachusetts",
"Michigan",
"Minnesota",
"Mississippi",
"Missouri",
"Montana",
"Nebraska",
"Nevada",
"New Hampshire",
"New Jersey",
"New Mexico",
"New York",
"North Carolina",
"North Dakota",
"Ohio",
"Oklahoma",
"Oregon",
"Pennsylvania",
"Rhode Island",
"South Carolina",
"South Dakota",
"Tennessee",
"Texas",
"USGS:6462530ad34ec179a83b5007",
"Utah",
"Vermont",
"Virginia",
"Washington",
"West Virginia",
"Wisconsin",
"Wyoming",
"modeling",
"public supply",
"water use"
]
|
| modified | 2024-08-27T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -126.2000, 24.2000, -64.3000, 50.2000 |
| theme |
[
"Geospatial"
]
|
| title | Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas |
