本文選題：GIS　切入點：大數(shù)據(jù)　出處：《遙感信息》2017年04期

【摘要】：針對快速增長的地理空間數(shù)據(jù)為地理信息系統(tǒng)(geographical information system,GIS)在大數(shù)據(jù)時代的應(yīng)用帶來眾多機遇和挑戰(zhàn),卻一直缺乏系統(tǒng)論述的問題,在對大數(shù)據(jù)及地理空間大數(shù)據(jù)特征進行分析的基礎(chǔ)上,通過若干典型實例展示了大數(shù)據(jù)與GIS耦合所帶來的巨大應(yīng)用,并分析了大數(shù)據(jù)時代對GIS數(shù)據(jù)采集、數(shù)據(jù)存儲、數(shù)據(jù)處理和分析等諸多方面所帶來的挑戰(zhàn),進一步指出引入概率論的數(shù)據(jù)篩選、分布式云存儲和數(shù)據(jù)快速分析等數(shù)據(jù)分析技術(shù)與方法,是增強大數(shù)據(jù)時代中GIS與決策支持系統(tǒng)之間耦合度的著力點。
[Abstract]:The rapid growth of geospatial data has brought many opportunities and challenges to the application of Geographic information system in big data's time, but it has been lack of systematic discussion. On the basis of analyzing the characteristics of big data and the geographical space big data, this paper shows the great application of the coupling of big data and GIS through some typical examples, and analyzes the data collection and storage of GIS in the period of big data. The challenges of data processing and analysis, etc., further point out the data analysis techniques and methods, such as data filtering based on probability theory, distributed cloud storage and fast data analysis, etc. It is the key to enhance the coupling degree between GIS and decision support system in big data era.
【作者單位】： 西北大學(xué)城市與環(huán)境學(xué)院;云南省水利水電科學(xué)研究院;
【基金】：水利部公益性行業(yè)科研專項(201401026) 云南省社會發(fā)展科技計劃(2012CA021)
【分類號】：P208
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本文編號：1660931