Item talk:Q66081

From geokb

{

 "USGS Publications Warehouse": {
   "schema": {
     "@context": "https://schema.org",
     "@type": "CreativeWork",
     "additionalType": "USGS Numbered Series",
     "name": "Analysis of a spatial point pattern: Examining the damage to pavement and pipes in Santa Clara Valley resulting from the Loma Prieta earthquake",
     "identifier": [
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse IndexID",
         "value": "ofr20071442",
         "url": "https://pubs.usgs.gov/publication/ofr20071442"
       },
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse Internal ID",
         "value": 80901
       },
       {
         "@type": "PropertyValue",
         "propertyID": "DOI",
         "value": "10.3133/ofr20071442",
         "url": "https://doi.org/10.3133/ofr20071442"
       }
     ],
     "inLanguage": "en",
     "isPartOf": [
       {
         "@type": "CreativeWorkSeries",
         "name": "Open-File Report"
       }
     ],
     "datePublished": "2008",
     "dateModified": "2022-06-28",
     "abstract": "This report describes some simple spatial statistical methods to explore the relationships of scattered points to geologic or other features, represented by points, lines, or areas. It also describes statistical methods to search for linear trends and clustered patterns within the scattered point data. Scattered points are often contained within irregularly shaped study areas, necessitating the use of methods largely unexplored in the point pattern literature. The methods take advantage of the power of modern GIS toolkits to numerically approximate the null hypothesis of randomly located data within an irregular study area. Observed distributions can then be compared with the null distribution of a set of randomly located points. The methods are non-parametric and are applicable to irregularly shaped study areas. Patterns within the point data are examined by comparing the distribution of the orientation of the set of vectors defined by each pair of points within the data with the equivalent distribution for a random set of points within the study area. A simple model is proposed to describe linear or clustered structure within scattered data. A scattered data set of damage to pavement and pipes, recorded after the 1989 Loma Prieta earthquake, is used as an example to demonstrate the analytical techniques. The damage is found to be preferentially located nearer a set of mapped lineaments than randomly scattered damage, suggesting range-front faulting along the base of the Santa Cruz Mountains is related to both the earthquake damage and the mapped lineaments. The damage also exhibit two non-random patterns: a single cluster of damage centered in the town of Los Gatos, California, and a linear alignment of damage along the range front of the Santa Cruz Mountains, California. The linear alignment of damage is strongest between 45\u00b0 and 50\u00b0 northwest. This agrees well with the mean trend of the mapped lineaments, measured as 49? northwest.",
     "description": "51 p.",
     "publisher": {
       "@type": "Organization",
       "name": "U.S. Geological Survey"
     },
     "author": [
       {
         "@type": "Person",
         "name": "Phelps, G. A.",
         "givenName": "G. A.",
         "familyName": "Phelps"
       }
     ],
     "funder": [
       {
         "@type": "Organization",
         "name": "Geophysics Unit of Menlo Park, CA (GUMP)",
         "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
       }
     ],
     "spatialCoverage": [
       {
         "@type": "Place",
         "additionalType": "country",
         "name": "United States",
         "url": "https://geonames.org/4074035"
       },
       {
         "@type": "Place",
         "additionalType": "state",
         "name": "California"
       },
       {
         "@type": "Place",
         "additionalType": "unknown",
         "name": "Santa Clara Valley",
         "url": "https://geonames.org/5393046"
       },
       {
         "@type": "Place",
         "geo": [
           {
             "@type": "GeoShape",
             "additionalProperty": {
               "@type": "PropertyValue",
               "name": "GeoJSON",
               "value": {
                 "type": "FeatureCollection",
                 "features": [
                   {
                     "type": "Feature",
                     "properties": {},
                     "geometry": {
                       "type": "Polygon",
                       "coordinates": [
                         [
                           [
                             -122.17620849609374,
                             37.19533058280065
                           ],
                           [
                             -121.74087524414064,
                             37.19533058280065
                           ],
                           [
                             -121.74087524414064,
                             37.42906945530332
                           ],
                           [
                             -122.17620849609374,
                             37.42906945530332
                           ],
                           [
                             -122.17620849609374,
                             37.19533058280065
                           ]
                         ]
                       ]
                     }
                   }
                 ]
               }
             }
           },
           {
             "@type": "GeoCoordinates",
             "latitude": 37.312200019051986,
             "longitude": -121.95854187011719
           }
         ]
       }
     ]
   }
 },
 "OpenAlex": {
   "abstract_inverted_index": {
     "This": [
       0,
       292
     ],
     "report": [
       1
     ],
     "describes": [
       2,
       28
     ],
     "some": [
       3
     ],
     "simple": [
       4,
       164
     ],
     "spatial": [
       5
     ],
     "statistical": [
       6,
       29
     ],
     "methods": [
       7,
       30,
       58,
       67,
       110
     ],
     "to": [
       8,
       15,
       31,
       77,
       116,
       168,
       183,
       199,
       208,
       235
     ],
     "explore": [
       9
     ],
     "the": [
       10,
       40,
       55,
       62,
       71,
       80,
       99,
       123,
       130,
       133,
       136,
       147,
       150,
       160,
       189,
       201,
       226,
       229,
       237,
       241,
       258,
       271,
       275,
       296,
       300
     ],
     "relationships": [
       11
     ],
     "of": [
       12,
       57,
       70,
       73,
       83,
       102,
       105,
       132,
       135,
       138,
       144,
       157,
       181,
       215,
       228,
       254,
       260,
       268,
       274,
       283,
       299
     ],
     "scattered": [
       13,
       41,
       175,
       178,
       220
     ],
     "points": [
       14,
       45,
       145,
       158
     ],
     "geologic": [
       16
     ],
     "or": [
       17,
       24,
       171
     ],
     "other": [
       18
     ],
     "features,": [
       19
     ],
     "represented": [
       20
     ],
     "by": [
       21,
       128,
       141
     ],
     "points,": [
       22
     ],
     "lines,": [
       23
     ],
     "areas.": [
       25,
       120
     ],
     "It": [
       26
     ],
     "also": [
       27,
       246
     ],
     "search": [
       32
     ],
     "for": [
       33,
       153
     ],
     "linear": [
       34,
       170,
       266,
       281
     ],
     "trends": [
       35
     ],
     "and": [
       36,
       113,
       185,
       240,
       264,
       289
     ],
     "clustered": [
       37,
       172
     ],
     "patterns": [
       38
     ],
     "within": [
       39,
       49,
       87,
       122,
       146,
       159,
       174
     ],
     "point": [
       42,
       63,
       124
     ],
     "data.": [
       43,
       176
     ],
     "Scattered": [
       44
     ],
     "are": [
       46,
       111,
       114,
       126
     ],
     "often": [
       47
     ],
     "contained": [
       48
     ],
     "irregularly": [
       50,
       117
     ],
     "shaped": [
       51,
       118
     ],
     "study": [
       52,
       90,
       119,
       161
     ],
     "areas,": [
       53
     ],
     "necessitating": [
       54
     ],
     "use": [
       56
     ],
     "largely": [
       59
     ],
     "unexplored": [
       60
     ],
     "in": [
       61,
       257
     ],
     "pattern": [
       64
     ],
     "literature.": [
       65
     ],
     "The": [
       66,
       109,
       204,
       244,
       280
     ],
     "take": [
       68
     ],
     "advantage": [
       69
     ],
     "power": [
       72
     ],
     "modern": [
       74
     ],
     "GIS": [
       75
     ],
     "toolkits": [
       76
     ],
     "numerically": [
       78
     ],
     "approximate": [
       79
     ],
     "null": [
       81,
       100
     ],
     "hypothesis": [
       82
     ],
     "randomly": [
       84,
       106,
       219
     ],
     "located": [
       85,
       107,
       211
     ],
     "data": [
       86,
       125,
       148,
       179
     ],
     "an": [
       88,
       197
     ],
     "irregular": [
       89
     ],
     "area.": [
       91,
       162
     ],
     "Observed": [
       92
     ],
     "distributions": [
       93
     ],
     "can": [
       94
     ],
     "then": [
       95
     ],
     "be": [
       96,
       209
     ],
     "compared": [
       97
     ],
     "with": [
       98,
       149,
       295
     ],
     "distribution": [
       101,
       131,
       152
     ],
     "a": [
       103,
       154,
       213,
       251,
       265
     ],
     "set": [
       104,
       137,
       156,
       180,
       214
     ],
     "points.": [
       108
     ],
     "non-parametric": [
       112
     ],
     "applicable": [
       115
     ],
     "Patterns": [
       121
     ],
     "examined": [
       127
     ],
     "comparing": [
       129
     ],
     "orientation": [
       134
     ],
     "vectors": [
       139
     ],
     "defined": [
       140
     ],
     "each": [
       142
     ],
     "pair": [
       143
     ],
     "equivalent": [
       151
     ],
     "random": [
       155
     ],
     "A": [
       163,
       177
     ],
     "model": [
       165
     ],
     "is": [
       166,
       194,
       206,
       233,
       285
     ],
     "proposed": [
       167
     ],
     "describe": [
       169
     ],
     "structure": [
       173
     ],
     "damage": [
       182,
       205,
       239,
       245,
       255,
       269,
       284
     ],
     "pavement": [
       184
     ],
     "pipes,": [
       186
     ],
     "recorded": [
       187
     ],
     "after": [
       188
     ],
     "1989": [
       190
     ],
     "Loma": [
       191
     ],
     "Prieta": [
       192
     ],
     "earthquake,": [
       193
     ],
     "used": [
       195
     ],
     "as": [
       196,
       304
     ],
     "example": [
       198
     ],
     "demonstrate": [
       200
     ],
     "analytical": [
       202
     ],
     "techniques.": [
       203
     ],
     "found": [
       207
     ],
     "preferentially": [
       210
     ],
     "nearer": [
       212
     ],
     "mapped": [
       216,
       242,
       301
     ],
     "lineaments": [
       217
     ],
     "than": [
       218
     ],
     "damage,": [
       221
     ],
     "suggesting": [
       222
     ],
     "range-front": [
       223
     ],
     "faulting": [
       224
     ],
     "along": [
       225,
       270
     ],
     "base": [
       227
     ],
     "Santa": [
       230,
       276
     ],
     "Cruz": [
       231,
       277
     ],
     "Mountains": [
       232
     ],
     "related": [
       234
     ],
     "both": [
       236
     ],
     "earthquake": [
       238
     ],
     "lineaments.": [
       243
     ],
     "exhibit": [
       247
     ],
     "two": [
       248
     ],
     "non-random": [
       249
     ],
     "patterns:": [
       250
     ],
     "single": [
       252
     ],
     "cluster": [
       253
     ],
     "centered": [
       256
     ],
     "town": [
       259
     ],
     "Los": [
       261
     ],
     "Gatos,": [
       262
     ],
     "California,": [
       263
     ],
     "alignment": [
       267,
       282
     ],
     "range": [
       272
     ],
     "front": [
       273
     ],
     "Mountains,": [
       278
     ],
     "California.": [
       279
     ],
     "strongest": [
       286
     ],
     "between": [
       287
     ],
     "45\u00b0": [
       288
     ],
     "50\u00b0": [
       290
     ],
     "northwest.": [
       291,
       306
     ],
     "agrees": [
       293
     ],
     "well": [
       294
     ],
     "mean": [
       297
     ],
     "trend": [
       298
     ],
     "lineaments,": [
       302
     ],
     "measured": [
       303
     ],
     "49?": [
       305
     ]
   },
   "apc_list": null,
   "apc_paid": null,
   "authorships": [
     {
       "author_position": "first",
       "author": {
         "id": "https://openalex.org/A5078622112",
         "display_name": "Geoffrey A. Phelps",
         "orcid": "https://orcid.org/0000-0003-1958-2736"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": true,
       "raw_author_name": "G. A. Phelps",
       "raw_affiliation_strings": [],
       "affiliations": []
     }
   ],
   "best_oa_location": null,
   "biblio": {
     "volume": null,
     "issue": null,
     "first_page": null,
     "last_page": null
   },
   "citation_normalized_percentile": null,
   "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W1553602466",
   "cited_by_count": 0,
   "cited_by_percentile_year": {
     "min": 0,
     "max": 66
   },
   "concepts": [
     {
       "id": "https://openalex.org/c92596616",
       "wikidata": "https://www.wikidata.org/wiki/Q1826413",
       "display_name": "Lineament",
       "level": 3,
       "score": 0.70103115,
       "qid": null
     },
     {
       "id": "https://openalex.org/c127313418",
       "wikidata": "https://www.wikidata.org/wiki/Q1069",
       "display_name": "Geology",
       "level": 0,
       "score": 0.5611352,
       "qid": "Q158984"
     },
     {
       "id": "https://openalex.org/c117251300",
       "wikidata": "https://www.wikidata.org/wiki/Q1849855",
       "display_name": "Parametric statistics",
       "level": 2,
       "score": 0.53895736,
       "qid": null
     },
     {
       "id": "https://openalex.org/c28719098",
       "wikidata": "https://www.wikidata.org/wiki/Q44946",
       "display_name": "Point (geometry)",
       "level": 2,
       "score": 0.50303763,
       "qid": null
     },
     {
       "id": "https://openalex.org/c58489278",
       "wikidata": "https://www.wikidata.org/wiki/Q1172284",
       "display_name": "Data set",
       "level": 2,
       "score": 0.5012164,
       "qid": "Q12"
     },
     {
       "id": "https://openalex.org/c204323151",
       "wikidata": "https://www.wikidata.org/wiki/Q905424",
       "display_name": "Range (aeronautics)",
       "level": 2,
       "score": 0.42685068,
       "qid": null
     },
     {
       "id": "https://openalex.org/c165205528",
       "wikidata": "https://www.wikidata.org/wiki/Q83371",
       "display_name": "Seismology",
       "level": 1,
       "score": 0.34569547,
       "qid": "Q159027"
     },
     {
       "id": "https://openalex.org/c2524010",
       "wikidata": "https://www.wikidata.org/wiki/Q8087",
       "display_name": "Geometry",
       "level": 1,
       "score": 0.27355754,
       "qid": "Q226246"
     },
     {
       "id": "https://openalex.org/c77928131",
       "wikidata": "https://www.wikidata.org/wiki/Q193343",
       "display_name": "Tectonics",
       "level": 2,
       "score": 0.21598703,
       "qid": null
     },
     {
       "id": "https://openalex.org/c105795698",
       "wikidata": "https://www.wikidata.org/wiki/Q12483",
       "display_name": "Statistics",
       "level": 1,
       "score": 0.19890729,
       "qid": "Q161190"
     },
     {
       "id": "https://openalex.org/c33923547",
       "wikidata": "https://www.wikidata.org/wiki/Q395",
       "display_name": "Mathematics",
       "level": 0,
       "score": 0.19551983,
       "qid": "Q161189"
     },
     {
       "id": "https://openalex.org/c127413603",
       "wikidata": "https://www.wikidata.org/wiki/Q11023",
       "display_name": "Engineering",
       "level": 0,
       "score": 0.08985621,
       "qid": "Q158977"
     },
     {
       "id": "https://openalex.org/c146978453",
       "wikidata": "https://www.wikidata.org/wiki/Q3798668",
       "display_name": "Aerospace engineering",
       "level": 1,
       "score": 0.0,
       "qid": "Q166129"
     }
   ],
   "corresponding_author_ids": [
     "https://openalex.org/A5078622112"
   ],
   "corresponding_institution_ids": [],
   "countries_distinct_count": 0,
   "counts_by_year": [],
   "created_date": "2016-06-24",
   "datasets": [],
   "display_name": "Analysis of a spatial point pattern: Examining the damage to pavement and pipes in Santa Clara Valley resulting from the Loma Prieta earthquake",
   "doi": "https://doi.org/10.3133/ofr20071442",
   "fwci": 0.0,
   "grants": [],
   "has_fulltext": false,
   "id": "https://openalex.org/W1553602466",
   "ids": {
     "openalex": "https://openalex.org/W1553602466",
     "doi": "https://doi.org/10.3133/ofr20071442",
     "mag": "1553602466"
   },
   "indexed_in": [
     "crossref"
   ],
   "institutions_distinct_count": 0,
   "is_paratext": false,
   "is_retracted": false,
   "keywords": [
     {
       "id": "https://openalex.org/keywords/lineament",
       "display_name": "Lineament",
       "score": 0.70103115
     },
     {
       "id": "https://openalex.org/keywords/terrain-analysis",
       "display_name": "Terrain Analysis",
       "score": 0.527661
     },
     {
       "id": "https://openalex.org/keywords/data-set",
       "display_name": "Data set",
       "score": 0.5012164
     }
   ],
   "language": "en",
   "locations": [
     {
       "is_oa": false,
       "landing_page_url": "https://doi.org/10.3133/ofr20071442",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S4210194219",
         "display_name": "Antarctica A Keystone in a Changing World",
         "issn_l": "0196-1497",
         "issn": [
           "0196-1497",
           "2331-1258",
           "2332-4899"
         ],
         "is_oa": true,
         "is_in_doaj": false,
         "is_core": true,
         "host_organization": "https://openalex.org/P4310316088",
         "host_organization_name": "United States Department of the Interior",
         "host_organization_lineage": [
           "https://openalex.org/P4310316088"
         ],
         "host_organization_lineage_names": [
           "United States Department of the Interior"
         ],
         "type": "journal"
       },
       "license": null,
       "license_id": null,
       "version": null,
       "is_accepted": false,
       "is_published": false
     }
   ],
   "locations_count": 1,
   "mesh": [],
   "ngrams_url": "https://api.openalex.org/works/W1553602466/ngrams",
   "open_access": {
     "is_oa": false,
     "oa_status": "closed",
     "oa_url": null,
     "any_repository_has_fulltext": false
   },
   "primary_location": {
     "is_oa": false,
     "landing_page_url": "https://doi.org/10.3133/ofr20071442",
     "pdf_url": null,
     "source": {
       "id": "https://openalex.org/S4210194219",
       "display_name": "Antarctica A Keystone in a Changing World",
       "issn_l": "0196-1497",
       "issn": [
         "0196-1497",
         "2331-1258",
         "2332-4899"
       ],
       "is_oa": true,
       "is_in_doaj": false,
       "is_core": true,
       "host_organization": "https://openalex.org/P4310316088",
       "host_organization_name": "United States Department of the Interior",
       "host_organization_lineage": [
         "https://openalex.org/P4310316088"
       ],
       "host_organization_lineage_names": [
         "United States Department of the Interior"
       ],
       "type": "journal"
     },
     "license": null,
     "license_id": null,
     "version": null,
     "is_accepted": false,
     "is_published": false
   },
   "primary_topic": {
     "id": "https://openalex.org/T10996",
     "display_name": "Mesh Generation Algorithms",
     "score": 0.9988,
     "subfield": {
       "id": "https://openalex.org/subfields/1704",
       "display_name": "Computer Graphics and Computer-Aided Design"
     },
     "field": {
       "id": "https://openalex.org/fields/17",
       "display_name": "Computer Science"
     },
     "domain": {
       "id": "https://openalex.org/domains/3",
       "display_name": "Physical Sciences"
     }
   },
   "publication_date": "2008-01-01",
   "publication_year": 2008,
   "referenced_works": [
     "https://openalex.org/W1503422052",
     "https://openalex.org/W1992497893",
     "https://openalex.org/W1995202710",
     "https://openalex.org/W2006025735",
     "https://openalex.org/W2140282570",
     "https://openalex.org/W2260572480",
     "https://openalex.org/W2312704740",
     "https://openalex.org/W2766089453",
     "https://openalex.org/W2801348287",
     "https://openalex.org/W572849585"
   ],
   "referenced_works_count": 10,
   "related_works": [
     "https://openalex.org/W3113596969",
     "https://openalex.org/W2800921496",
     "https://openalex.org/W2255717522",
     "https://openalex.org/W2063236974",
     "https://openalex.org/W2059474316",
     "https://openalex.org/W2021019067",
     "https://openalex.org/W2010023155",
     "https://openalex.org/W2002219712",
     "https://openalex.org/W1972132357",
     "https://openalex.org/W1501477135"
   ],
   "sustainable_development_goals": [
     {
       "display_name": "Sustainable cities and communities",
       "score": 0.76,
       "id": "https://metadata.un.org/sdg/11"
     }
   ],
   "title": "Analysis of a spatial point pattern: Examining the damage to pavement and pipes in Santa Clara Valley resulting from the Loma Prieta earthquake",
   "topics": [
     {
       "id": "https://openalex.org/T10996",
       "display_name": "Mesh Generation Algorithms",
       "score": 0.9988,
       "subfield": {
         "id": "https://openalex.org/subfields/1704",
         "display_name": "Computer Graphics and Computer-Aided Design"
       },
       "field": {
         "id": "https://openalex.org/fields/17",
         "display_name": "Computer Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10770",
       "display_name": "Digital Soil Mapping Techniques",
       "score": 0.9982,
       "subfield": {
         "id": "https://openalex.org/subfields/2305",
         "display_name": "Environmental Engineering"
       },
       "field": {
         "id": "https://openalex.org/fields/23",
         "display_name": "Environmental Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T12698",
       "display_name": "Applications of 3D City Models",
       "score": 0.9903,
       "subfield": {
         "id": "https://openalex.org/subfields/2215",
         "display_name": "Building and Construction"
       },
       "field": {
         "id": "https://openalex.org/fields/22",
         "display_name": "Engineering"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     }
   ],
   "type": "article",
   "type_crossref": "journal-article",
   "updated_date": "2024-08-10T09:19:53.188535",
   "versions": [],
   "qid": "Q66081"
 }

}