2019年中国科学院大学地理资源所与宁波诺丁汉大学联合培养博士生Space－timemodellingofpovertyinChinaandsurroundingcountries

　　IGSNRRsupervisor: ProfYongGE

　　UNNCsupervisor:DrNicholasHAMM(SchoolofGeographicalSciences)

　　PovertyalleviationhasbeenamajorfeatureofChinesepolicyoverthepast40years. Nevertheless,bytheendof2012,Chinastillhadalmost100millionpeopleconcentratedincontiguouspoverty-strickenregions. Povertyshowsacomplexrelationshipwiththewidergeographiccontext–includingthephysicalenvironment,naturalresourcesandeconomicsystems. Thisgeographiccontextfurtherincludesaspectsofurbanization,infrastructure(e.g.,roadsandrailways),educationandfoodsecurity. Povertyshowsacomplexpatterninshape. Hencespatialstatisticalanalysiscansupportidentificationofthepatternsofpovertyaswellastherelationshipwiththewidergeographiccontext,bothofwhichcanvaryinspaceandtime. Thishasthepotentialbothtosupportthedevelopmentofpovertyalleviationpoliciesaswellasmonitoringtheeffectivenessofthosepolicies.

　　ThisPhDwillfocuson:

　　(1)DynamicchangeinformationextractionbyincorporatingVGIandstreetview

　　(2)Modellingtherelationshipbetweenpovertyandgeographiccontext:spatialregressionandmachinelearning

　　(3)Finescalemappingofpovertyincidenceanduncertaintyanalysis

　　InformalinquiriesmaybeaddressedtoDrNicholasHAMM(nicholas.hamm@***.cn)andProfYongGE(gey@lreis.***),butformalapplicationsshouldfollowinstructionsinthe‘Howtoapply’sectionbelow.