Item talk:Q318472

{

 "DOI": {
   "doi": "10.5066/p9onhxn3",
   "identifiers": [],
   "creators": [
     {
       "name": "William D Walter",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-3068-1073",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Kristin J. Bondo",
       "nameType": "Personal",
       "affiliation": [
         "The Pennsylvania State University"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "DIego Montecino-Latorre",
       "nameType": "Personal",
       "affiliation": [
         "The Pennsylvania State University"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Workflow to acquire and process large spatial data and build complex models"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2023,
   "subjects": [
     {
       "subject": ""
     },
     {
       "subject": "mosquitoes"
     },
     {
       "subject": "spatial data"
     },
     {
       "subject": "large-scale"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2023",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "COMP",
     "bibtex": "misc",
     "citeproc": "article",
     "schemaOrg": "SoftwareSourceCode",
     "resourceType": "Software",
     "resourceTypeGeneral": "Software"
   },
   "relatedIdentifiers": [],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "This software involves R scripts to download and process large-scale spatial data defined by an extent input by the user. The code then resamples data to the desired resolution, downloads metadata from a public website on West Nile virus prevalence in mosquito pools, then extracts spatial layer data as covariates for each record.\nAlso, this software involves R script to fit models of abundance of mosquito vectors (' Script_for_ECS22-0193_9_13_2215.R') to landscape and environmental covariates using INLA and SPDE. The dataset used for this analysis were originally provided by the Pennsylvania Department of Environmental Protection (DEP) with a confidentiality agreement. The majority of the data used in this study, however, have since been posted online by the DEP and are available at https://gis.dep.pa.gov/WNV/index.html. To download the data, click on the link, "Mosquito Testing Data."\n",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://code.usgs.gov/cooperativeresearchunits/pennsylvania/aquire-process-large-spatial-data",
   "contentUrl": null,
   "metadataVersion": 2,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
   "downloadCount": 0,
   "referenceCount": 0,
   "citationCount": 0,
   "partCount": 0,
   "partOfCount": 0,
   "versionCount": 0,
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   "created": "2023-03-21T12:51:05Z",
   "registered": "2023-03-21T12:51:06Z",
   "published": null,
   "updated": "2024-07-12T14:48:49Z"
 }

}