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5、O?{{i{AbstractAbstractWiththeexpansionofthescopofstatisticalresearchandapplication,thedatawitchhavespacepositioninformationandtimeattributescausedtheresearchersattention.inspatio-temporaldataanalysisthemainresearchisregressionrelevanceandregressionnonstationary.sospatiallyandtemporallyweight
6、edregressionmodelplaysanimportantroleinspatio-temporaldataanalysis.spatiallyandtemporallyweightedregressionmodelisthedirectexpansionofge-ographicallyweightedregressionmodel.inthevaryingcoecientregressionmodelbymeansofsupposeregressioncoecientisthefunctionofgeographicpositionandobser-vationt
7、ime,thedatacoordinatesofspaceandtimeembeddedintheregressionmodel,providethee ectiveanalysingwaytoanalysisthenonstationaryofregressionrelation-ship.inthispaperbumeansoflocallinearregressiontechniques,analyzedthespatiallyandtemporallyweightedregressionmodel,semiparametricspatiallyandtemporallyw
8、eightedregressionmodelanditsstatisticalinferences.themaininnovationpointsisbelow:(1)thevaryingcoecientregressionmodel,geographicallyweightedregressionmodelareintroducedandthelocallinearestimationmethodofgeographicallyweightedregres-sionmodel
