本文選題：地理空間數(shù)據(jù) + 觀測對象　； 參考：《中國科學(xué)院大學(xué)(工程管理與信息技術(shù)學(xué)院)》2013年碩士論文

【摘要】：隨著遙感技術(shù)不斷迅猛的發(fā)展,地理空間數(shù)據(jù)呈爆炸式的增長,如何有效的組織海量的地理空間數(shù)據(jù),從宏觀的角度掌握不同區(qū)域不同時段數(shù)據(jù)的頻度及數(shù)據(jù)的分布狀況,有著很強的應(yīng)用需求和重要的意義。 通過對國內(nèi)外研究進展的調(diào)研與分析發(fā)現(xiàn),地理空間信息統(tǒng)計需要滿足特定的需求,目前國內(nèi)將統(tǒng)計信息與地理空間關(guān)聯(lián)研究應(yīng)用的較少,沒有較為完善的地理空間信息統(tǒng)計分析方法體系。本文嘗試以應(yīng)用需求為指導(dǎo),以觀測對象作為地理空間信息的統(tǒng)計主體,提出了從數(shù)據(jù)組織到數(shù)據(jù)頻度統(tǒng)計模型研究再到統(tǒng)計結(jié)果可視化一套技術(shù)方案,主要研究內(nèi)容包括： (1)設(shè)計了基于地理編碼框架和觀測對象的統(tǒng)一數(shù)據(jù)組織模型,可以有效地建立地理空間信息數(shù)據(jù)與觀測對象的關(guān)聯(lián),較好地實現(xiàn)了數(shù)據(jù)之間的共享利用； (2)在研究了傳統(tǒng)的幾種頻度統(tǒng)計方法的基礎(chǔ)之上提出了結(jié)合時間的隱含關(guān)聯(lián)關(guān)系頻度統(tǒng)計方法。通過在協(xié)同過濾挖掘隱含關(guān)聯(lián)關(guān)系的基礎(chǔ)上,結(jié)合圖模型解釋性強的特點,統(tǒng)計出不同觀測對象的頻度,有利于更好地反映整體趨勢； (3)結(jié)合現(xiàn)有的可視化技術(shù)提出了基于融合的統(tǒng)計結(jié)果層級可視化技術(shù),針對海量地理空間數(shù)據(jù)及大量的觀測對象,采用層級聚類的方法對統(tǒng)計結(jié)果進行融合,實現(xiàn)了統(tǒng)計數(shù)據(jù)從宏觀到微觀、逐步細化的可視化方式。 本課題將海量地理空間數(shù)據(jù)與觀測對象建立映射關(guān)聯(lián)關(guān)系,通過對該映射關(guān)系統(tǒng)計方法的研究,實現(xiàn)地理空間數(shù)據(jù)的頻度統(tǒng)計,并通過多種可視化手段直觀高效的對統(tǒng)計結(jié)果可視化,目的是提升海量地理空間信息宏觀應(yīng)用及決策的價值。
[Abstract]:With the rapid development of remote sensing technology, the geospatial data is increasing explosively. How to effectively organize the massive geospatial data and master the frequency and distribution of the data in different regions and different periods from the macro perspective. Has the very strong application demand and the important significance. Through the investigation and analysis of domestic and foreign research progress, it is found that geospatial information statistics needs to meet the specific needs. There is no perfect statistical analysis system of geospatial information. Under the guidance of the application requirement and taking the observation object as the statistical subject of geospatial information, this paper proposes a set of technical scheme from data organization to data frequency statistical model research to statistical result visualization. The main research contents are as follows: (1) A unified data organization model based on geo-coding framework and observation objects is designed, which can effectively establish the association between geospatial information data and observation objects. (2) based on the study of several traditional frequency statistics methods, the implicit correlation frequency statistical method combined with time is proposed. On the basis of collaborative filtering mining implicit association relation and the strong explanatory characteristics of graph model, the frequency of different observation objects is calculated, which is helpful to better reflect the overall trend. (3) combined with the existing visualization technology, the hierarchical visualization technology based on fusion is put forward. For the massive geospatial data and a large number of observation objects, the hierarchical clustering method is used to fuse the statistical results. The visualization of statistical data from macro to micro is realized. In this paper, the mapping relation between massive geospatial data and observed objects is established, and the frequency statistics of geospatial data is realized by studying the statistical method of mapping relation. In order to enhance the value of macro application and decision making of massive geospatial information, we visualize the statistical results directly and efficiently by various visualization methods.
【學(xué)位授予單位】：中國科學(xué)院大學(xué)(工程管理與信息技術(shù)學(xué)院)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P208

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本文編號：2099117