Based on the analysis of wheat production resources in china by using factor loading matrix theory , this paper builds the factor analysis models and ascertains the factors that influence the general output of wheat and their effect weight 摘要在分析我國(guó)小麥生產(chǎn)資源的基礎(chǔ)上,采用因子載荷矩陣?yán)碚?,通過(guò)構(gòu)建因子分析模型,確定了影響小麥總產(chǎn)量的各因子及其影響權(quán)重。
Assemblage ) represented the coastal shallow - water environment ; factor 2 ( protelphidium tuberculatum assemblage ) represented the alongshore cold - water current area or cold shallow sea environment ; factor 3 ( elphidium magellanicum assemblage ) represented the sh allow sea ( < 20 - 30m depth ) deposit ; factor 4 ( ammonia ketienziensis assemblage ) represented the shallow - sea water more than 50m depth ; and factor 5 ( buccella frigida assemblage ) represented the colder - water sea environment ; and the distribution of factor load accorded with the character of benthic foraminifer community Q型因子分析揭示ey02 - 2孔5種有孔蟲(chóng)組合,分別對(duì)應(yīng)濱岸鹽沼環(huán)境、黃海沿岸流冷水分布區(qū)、高潮坪淺海沉積環(huán)境、水深大于50m的現(xiàn)代淺海環(huán)境及較冷的沉積環(huán)境。因子載荷的分布與有孔蟲(chóng)群落特征吻合較好。南黃海有孔蟲(chóng)含量? ?水深轉(zhuǎn)換函數(shù)關(guān)系式有一定的局限性,并不能在南黃海陸架地區(qū)推廣使用。