Item talk:Q318436

From geokb

{

 "DOI": {
   "doi": "10.5066/p13w3vkc",
   "identifiers": [],
   "creators": [
     {
       "name": "Brian G Prochazka",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
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     },
     {
       "name": "Peter S Coates",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
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           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-2672-9994",
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       ]
     },
     {
       "name": "Shawn T O'Neil",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
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           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-0899-5220",
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       ]
     }
   ],
   "titles": [
     {
       "title": "Code for a spatially interpolated integrated population model applied to simulations of spatially autocorrelated Greater Sage-Grouse (Centrocercus urophasianus) population data"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2024,
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   "descriptions": [
     {
       "description": "This repository contains R code to:\n\n\n1. Simulate spatially autocorrelated count and demographic data for 10 populations using mean and process variance estimates from a long-term (1938\u20132011), range-wide meta-analysis of Greater Sage-Grouse (Centrocercus urophasianus) population dynamics (Taylor et al., 2012).\n\n2. Fit a spatially interpolated integrated population model (SIIPM) to the simulated data after removing demographic data from a single population.",
       "descriptionType": "Abstract"
     }
   ],
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   "url": "https://code.usgs.gov/werc/dixon-field-station/coates-lab/siipm",
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   "created": "2024-04-22T22:37:29Z",
   "registered": "2024-04-22T22:37:30Z",
   "published": null,
   "updated": "2024-07-14T04:09:15Z"
 }

}