Cycling　dynamics　of　nitrogen　in　paddy　rotation　areas　have　a　practical　significance　for　ensuring　food　supply　and　realizing　sustainable　development　of　the　regional　ecology　in　the　Min　delta　urban　agglomeration.　However,　with　rapid　urbanization,　the　negative　externalities　of　paddy　rotation　areas　have　been　gradually　increased　because　of　unreasonable　utilization　behavior,　and　the　environmental　costs　are　increasing.　Therefore,　the　spatial　differentiation　of　nitrogen　indicators　and　its　driving　factors　were　analyzed,　which　provides　a　macro-decision　making　basis　for　the　implementation　of　farmland　management　measures.　In　this　study,　the　paddy　rotation　area　in　Jinjiang　River　watershed　was　selected　as　the　research　object.　The　denitrification　decomposition　(DNDC)　model　was　used　to　simulate　the　nitrogen　cycle　in　the　paddy　rotation　area.　The　hot　spot　analysis　and　geographical　weight　regression　(GWR)　model　were　used　to　analyze　the　spatial　otherness　characteristics　and　driving　attribution　of　various　nitrogen　indices.　The　main　results　showed　that:　The　DNDC　model　was　validated　by　parameters,　and　the　results　showed　preferably　regional　adaptability.　Based　on　the　comparison　of　different　rotation　patterns,　the　rice-vegetable　rotation　pattern　not　only　established　the　maximum　input　of　nitrogen　fertilizer　but　also　revealed　the　highest　nitrogen　absorption　efficiency　and　the　maximum　values　of　nitrogen　loss,　followed　by　the　rice-rice　rotation　pattern　and　rice-fallow　rotation　pattern.　In　the　spatial　distribution　of　nitrogen　indicators,　except　for　the　crop　nitrogen　absorption,　the　NH3　emission,　N2O　emission　and　nitrogen　leaching　showed　a　spatial　clustering　distribution,　and　the　main　trend　line　based　on　the　standard　deviation　ellipse　was　mainly　＇Gande-Changkeng＇　township.　According　to　the　analysis　of　spatial　influence　factors　for　various　nitrogen　indices,　soil　attribute　factors　had　the　strongest　effect;　the　SOCmax　was　the　strongest　influential　factor　for　both　NH3　and　N2O　emissions,　and　the　spatial　distribution　was　＇west　high,　east　low＇.　The　pHmin　was　the　strongest　influential　factor　in　nitrogen　leaching,　and　the　spatial　distribution　was　＇north　and　south　high,　east　and　west　low＇.　©　2020,　Science　Press.　All　right　reserved.