简介：Thispaperintegratesgeneticalgorithmandneuralnetworktechniquestobuildnewtemporalpredictinganalysistoolsforgeographicinformationsystem(GIS).ThesenewGIStoolscanbereadilyappliedinapracticalandappropriatemannerinspatialandtemporalresearchtopatchthegapsinGISdataminingandknowledgediscoveryfunctions.ThespecificachievementhereistheintegrationofrelatedartificialintelligenttechnologiesintoGISsoftwaretoestablishaconceptualspatialandtemporalanalysisframework.And,byusingthisframeworktodevelopanartificialintelligentspatialandtemporalinformationanalyst(ASIA)systemwhichthenisfullyutilizedintheexistingGISpackage.Thisstudyofairpollutantsforecastingprovidesageographicalpracticalcasetoprovetherationalizationandjustnessoftheconceptualtemporalanalysisframework.