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1{2 "key": "brunsdon1996geographically",3 "retrieved": "2026-10-20",4 "via": "doi",5 "message": {6  "indexed": {7   "date-parts": [8    [9     2026,10     10,11     2012    ]13   ],14   "date-time": "2026-10-20T21:43:03Z",15   "timestamp": 1792532583333,16   "version": "4.5.0"17  },18  "reference-count": 25,19  "publisher": "Wiley",20  "issue": "4",21  "license": [22   {23    "start": {24     "date-parts": [25      [26       2010,27       9,28       329      ]30     ],31     "date-time": "2010-09-03T00:00:00Z",32     "timestamp": 128347200000033    },34    "content-version": "vor",35    "delay-in-days": 5085,36    "URL": "http://onlinelibrary.wiley.com/termsAndConditions#vor"37   }38  ],39  "content-domain": {40   "domain": [41    "onlinelibrary.wiley.com"42   ],43   "crossmark-restriction": true44  },45  "short-container-title": [46   "Geographical Analysis"47  ],48  "published-print": {49   "date-parts": [50    [51     1996,52     1053    ]54   ]55  },56  "abstract": "<jats:p>Spatial nonstationarity is a condition in which a simple “global” model cannot explain the relationships between some sets of variables. The nature of the model must alter over space to reflect the structure within the data. In this paper, a technique is developed, termed geographically weighted regression, which attempts to capture this variation by calibrating a multiple regression model which allows different relationships to exist at different points in space. This technique is loosely based on kernel regression. The method itself is introduced and related issues such as the choice of a spatial weighting function are discussed. Following this, a series of related statistical tests are considered which can be described generally as tests for spatial nonstationarity. Using Monte Carlo methods, techniques are proposed for investigating the null hypothesis that the data may be described by a global model rather than a non‐stationary one and also for testing whether individual regression coefficients are stable over geographic space. These techniques are demonstrated on a data set from the 1991 U.K. census relating car ownership rates to social class and male unemployment. The paper concludes by discussing ways in which the technique can be extended.</jats:p>",57  "DOI": "10.1111/j.1538-4632.1996.tb00936.x",58  "type": "journal-article",59  "created": {60   "date-parts": [61    [62     2010,63     9,64     1465    ]66   ],67   "date-time": "2010-09-14T09:43:30Z",68   "timestamp": 128445741000069  },70  "page": "281-298",71  "update-policy": "https://doi.org/10.1002/crossmark_policy",72  "source": "Crossref",73  "is-referenced-by-count": 3070,74  "title": [75   "Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity"76  ],77  "prefix": "10.1111",78  "volume": "28",79  "author": [80   {81    "given": "Chris",82    "family": "Brunsdon",83    "sequence": "first",84    "affiliation": [],85    "role": [86     {87      "vocabulary": "crossref",88      "role": "author"89     }90    ]91   },92   {93    "given": "A. Stewart",94    "family": "Fotheringham",95    "sequence": "additional",96    "affiliation": [],97    "role": [98     {99      "vocabulary": "crossref",100      "role": "author"101     }102    ]103   },104   {105    "given": "Martin E.",106    "family": "Charlton",107    "sequence": "additional",108    "affiliation": [],109    "role": [110     {111      "vocabulary": "crossref",112      "role": "author"113     }114    ]115   }116  ],117  "member": "311",118  "published-online": {119   "date-parts": [120    [121     2010,122     9,123     3124    ]125   ]126  },127  "reference": [128   {129    "key": "e_1_2_1_2_1",130    "doi-asserted-by": "publisher",131    "DOI": "10.1007/BF00140869"132   },133   {134    "key": "e_1_2_1_3_1",135    "doi-asserted-by": "publisher",136    "DOI": "10.1093/biomet/71.2.353"137   },138   {139    "key": "e_1_2_1_4_1",140    "first-page": "155",141    "volume-title": "Proceedings of the Second European Conference on Geographical Information Systems",142    "author": "Brunsdon C. F.",143    "year": "1991"144   },145   {146    "key": "e_1_2_1_5_1",147    "doi-asserted-by": "publisher",148    "DOI": "10.1016/0098-3004(95)00020-9"149   },150   {151    "key": "e_1_2_1_6_1",152    "doi-asserted-by": "publisher",153    "DOI": "10.1111/j.1538-4632.1972.tb00458.x"154   },155   {156    "key": "e_1_2_1_7_1",157    "volume-title": "Applications of the Expansion Method.",158    "author": "Casetti E.",159    "year": "1992"160   },161   {162    "key": "e_1_2_1_8_1",163    "doi-asserted-by": "publisher",164    "DOI": "10.1080/01621459.1979.10481038"165   },166   {167    "key": "e_1_2_1_9_1",168    "doi-asserted-by": "publisher",169    "DOI": "10.1080/01621459.1988.10478639"170   },171   {172    "key": "e_1_2_1_10_1",173    "doi-asserted-by": "publisher",174    "DOI": "10.1007/978-1-4899-7252-1"175   },176   {177    "key": "e_1_2_1_11_1",178    "doi-asserted-by": "publisher",179    "DOI": "10.1111/j.0033-0124.1991.00500.x"180   },181   {182    "key": "e_1_2_1_12_1",183    "doi-asserted-by": "publisher",184    "DOI": "10.1287/mnsc.32.7.878"185   },186   {187    "key": "e_1_2_1_13_1",188    "first-page": "156",189    "article-title": "Exploratory Spatial Data Analysis and GIS.",190    "volume": "25",191    "author": "Fotheringham A. S.",192    "year": "1992",193    "journal-title": "Environment and Planning A"194   },195   {196    "key": "e_1_2_1_14_1",197    "first-page": "30",198    "article-title": "On the Future of Spatial Analysis: The Role of GIS.",199    "author": "Fotheringham A. S.",200    "year": "1994",201    "journal-title": "Environment and Planning A"202   },203   {204    "key": "e_1_2_1_15_1",205    "doi-asserted-by": "publisher",206    "DOI": "10.1068/a270715"207   },208   {209    "key": "e_1_2_1_16_1",210    "doi-asserted-by": "publisher",211    "DOI": "10.1080/02693799308901936"212   },213   {214    "key": "e_1_2_1_17_1",215    "doi-asserted-by": "crossref",216    "DOI": "10.1080/026937996137909",217    "article-title": "The Geography of Parameter Space: An Investigation into Spatial Non‐Stationarity.",218    "author": "Fotheringham A. S.",219    "year": "1996",220    "journal-title": "International Journal of Geographical Information Systems"221   },222   {223    "key": "e_1_2_1_18_1",224    "volume-title": "Multilevel Models in Educational and Social Research.",225    "author": "Goldstein H.",226    "year": "1987"227   },228   {229    "key": "e_1_2_1_19_1",230    "doi-asserted-by": "publisher",231    "DOI": "10.1111/j.1538-4632.1994.tb00311.x"232   },233   {234    "key": "e_1_2_1_20_1",235    "volume-title": "Optimisation.",236    "author": "Greig D. M.",237    "year": "1980"238   },239   {240    "key": "e_1_2_1_21_1",241    "doi-asserted-by": "publisher",242    "DOI": "10.2307/622610"243   },244   {245    "key": "e_1_2_1_22_1",246    "first-page": "147",247    "volume-title": "Spatial Analysis and GIS",248    "author": "Openshaw S.",249    "year": "1993"250   },251   {252    "key": "e_1_2_1_23_1",253    "doi-asserted-by": "publisher",254    "DOI": "10.1080/01621459.1975.10480272"255   },256   {257    "key": "e_1_2_1_24_1",258    "doi-asserted-by": "publisher",259    "DOI": "10.1214/aoms/1177704472"260   },261   {262    "key": "e_1_2_1_25_1",263    "doi-asserted-by": "publisher",264    "DOI": "10.1007/978-1-4899-3324-9"265   },266   {267    "key": "e_1_2_1_26_1",268    "doi-asserted-by": "publisher",269    "DOI": "10.1007/978-1-4899-4493-1"270   }271  ],272  "container-title": [273   "Geographical Analysis"274  ],275  "original-title": [],276  "language": "en",277  "link": [278   {279    "URL": "https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1538-4632.1996.tb00936.x",280    "content-type": "unspecified",281    "content-version": "vor",282    "intended-application": "text-mining"283   },284   {285    "URL": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1538-4632.1996.tb00936.x",286    "content-type": "unspecified",287    "content-version": "vor",288    "intended-application": "similarity-checking"289   }290  ],291  "deposited": {292   "date-parts": [293    [294     2023,295     10,296     26297    ]298   ],299   "date-time": "2023-10-26T22:45:18Z",300   "timestamp": 1698360318000301  },302  "score": 1,303  "resource": {304   "primary": {305    "URL": "https://onlinelibrary.wiley.com/doi/10.1111/j.1538-4632.1996.tb00936.x"306   }307  },308  "subtitle": [],309  "short-title": [],310  "issued": {311   "date-parts": [312    [313     1996,314     10315    ]316   ]317  },318  "references-count": 25,319  "journal-issue": {320   "issue": "4",321   "published-print": {322    "date-parts": [323     [324      1996,325      10326     ]327    ]328   }329  },330  "alternative-id": [331   "10.1111/j.1538-4632.1996.tb00936.x"332  ],333  "URL": "https://doi.org/10.1111/j.1538-4632.1996.tb00936.x",334  "archive": [335   "Portico"336  ],337  "relation": {},338  "ISSN": [339   "0016-7363",340   "1538-4632"341  ],342  "issn-type": [343   {344    "value": "0016-7363",345    "type": "print"346   },347   {348    "value": "1538-4632",349    "type": "electronic"350   }351  ],352  "subject": [],353  "published": {354   "date-parts": [355    [356     1996,357     10358    ]359   ]360  },361  "assertion": [362   {363    "value": "2010-09-03",364    "order": 2,365    "name": "published",366    "label": "Published",367    "group": {368     "name": "publication_history",369     "label": "Publication History"370    }371   }372  ]373 }374}