1) spatio-temporal forecasting
时空预测
1.
Spatio-temporal data mining is an important research topic in data mining, and in which spatio-temporal forecasting is the most widely used.
时空数据挖掘是数据挖掘中的重要研究内容,其中时空预测的应用领域最为广泛。
2) time and spatial forecast model
时空预测模型
1.
Based on studies on mechanism of soil secondary salinization in Huang-Huai-Hai plain as well as assessment to soil secondary salinization in waste material processing place of some mineral water production base, paper put forwards time and spatial forecast model about soil secondary salinization and its controlling measures.
本文在对黄淮海平原地区的土壤盐碱化机制进行研究的基础上 ,结合某矿泉水基地纳污场土壤盐碱化的评价 ,提出了土壤次生盐碱化的时空预测模型和防治土壤次生盐碱化的措施。
3) traffic volume forecasting in space and time
交通流时空预测
4) distribution prediction of spaces and times
空时分布预测
5) Spatio-temporal three-dimensional prediction
时空域三维预测
6) spatio-temporal MAD prediction
时空域MAD预测
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条