Item talk:Q322905

{

 "DOI": {
   "doi": "10.5066/p9lvcant",
   "identifiers": [],
   "creators": [
     {
       "name": "Belitz, Kenneth",
       "nameType": "Personal",
       "givenName": "Kenneth",
       "familyName": "Belitz",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-4481-2345",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Arnold, Terri L.",
       "nameType": "Personal",
       "givenName": "Terri L.",
       "familyName": "Arnold",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-1406-6054",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Sharpe, Jennifer B.",
       "nameType": "Personal",
       "givenName": "Jennifer B.",
       "familyName": "Sharpe",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-5192-7848",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Point data for four case studies related to testing of multi-order hydrologic position"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2019,
   "subjects": [
     {
       "subject": "Hydrology, Information Sciences"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2019",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "https://doi.org/10.1029/2019wr025908",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
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   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "The location of a point (or pixel) within the conterminous U.S. can be assigned based on its position relative to the Nation's stream network. Two metrics are recognized: lateral position (LP) and distance from stream to divide (DSD). And given that a point can have different positions in different hydrologic orders the term multi-order hydrologic position (MOHP) is used to describe the ensemble of hydrologic positions. LP and DSD were developed for nine hydrologic orders across the conterminous U.S. (Belitz and others, 2019; Moore and others, 2019). Four case studies are presented here that were used for evaluating the utility of MOHP in the context of random forest machine learning (Belitz and others, 2019). Two of the case studies evaluate categorical response variables: geomorphic province in the Central Valley of California (Faunt, 2009) and physiographic province in the conterminous U.S. (Fenneman and Johnson, 1946). Two of the case studies evaluate depth to the water table (DTW), which is a continuous variable: simulated values from a numerical simulation model of the groundwater flow system in the Fox-Wolf-Peshtigo area located to the west of Lake Michigan (Juckem and others, 2017) and observed values in Wisconsin (Fan and others, 2013). The point data for each of the four case studies include: land surface elevation, the 18 MOHP metrics (LP and DSD for nine hydrologic orders), and the appropriate response variable. Latitude and longitude are also included for the purposes of plotting. The case studies show that some MOHP metrics serve as indicators of hydrologic process and others as indicators of location. MOHP is shown to have utility as a predictor variable across a large range of scales (50,000 to 8,000,000 square kilometers). Four comma-separated values (.csv) data tables are included in this data release: 1) CVAL_sampsites_mohp.csv -- Central Valley, California 2) FPR_sampsites_mohp.csv -- Fenneman Physiographic Regions 3) FWP_sampsites_mohp.csv -- Fox-Wolf-Peshtigo 4) WIOBS_sampsites_mohp.csv -- Observed depth-to-water in Wisconsin",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/5ced4d1de4b02eb068de9227",
   "contentUrl": null,
   "metadataVersion": 0,
   "schemaVersion": null,
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
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   "citationCount": 1,
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   "created": "2019-12-16T18:51:48Z",
   "registered": "2019-12-16T18:51:49Z",
   "published": null,
   "updated": "2023-09-08T08:55:19Z"
 }

}