Analyzing　rice　yields　and　multidimensional　environmental　factors　at　a　fine　scale　facilitates　the　discovery　of　the　planting　environment　patterns　that　guide　the　spatial　layout　of　rice　production.　This　study　uses　Pucheng　County,　Fujian　Province,　a　demonstration　county　of　China　Good　Grains　and　Oils,　as　the　research　area.　Using　actual　rice　yield　sample　data　and　environment　data,　a　yield　simulation　model　based　on　random　forest　regression　is　constructed　to　realize　a　fine-scale　simulation　of　rice　yield　and　its　spatial　distribution　pattern　in　Pucheng　County.　On　this　basis,　we　construct　a　method　system　to　identify　spatial　combination　patterns　between　rice　yields　and　fine-scale　multidimensional　environmental　planting　suitability　using　rice　yield　data　and　environmental　planting　suitability　evaluation　data.　We　categorize　the　areas　into　four　combination　model　areas　to　analyze　the　spatial　correlation　model　of　planting　suitability,　multidimensional　environment,　and　yield:　higher-yield　and　higher-suitability　cluster-comprehensive　environmental-advantage　areas,　high-yield　and　high-suitability　cluster-soil　condition-limited　areas,　moderate-yield　and　moderate-suitability　cluster-irrigation　and　drainage　condition-limited　areas,　and　low-yield　and　low-suitability　cluster-site　condition-limited　areas.　The　following　results　are　found.　(1)　The　rice　yield　simulation　model,　which　is　based　on　random　forest　regression,　considers　the　various　complex　relationships　between　yield　and　natural　as　well　as　human　factors　to　realize　the　refined　simulation　of　rice　yields　at　a　county　scale.　(2)　The　county　rice　yield　has　a　strong　positive　spatial　correlation,　and　the　spatial　clustering　characteristics　are　obvious;　these　relationships　can　provide　a　basis　for　effectively　implementing　intensive　rice　planting　in　Pucheng　County.　(3)　We　construct　a　spatial　combination　pattern　recognition　method　based　on　rice　yield　and　environmental　planting　suitability.　We　can　use　this　method　to　effectively　identify　the　spatial　relationship　between　yield　and　planting　suitability　as　well　as　the　shortcomings　and　advantages　of　different　regions　in　terms　of　the　climate,　soil,　irrigation,　site,　mechanical　farming,　and　similar　factors.　On　this　basis,　we　can　provide　regional　rice　planting　guidance　for　Pucheng　County.　In　addition,　this　method　system　also　provides　a　new　perspective　and　method　for　research　into　spatial　combination　models　and　related　spatial　issues.