本文選題：點(diǎn)模式　切入點(diǎn)：Voronoi鄰近關(guān)系　出處：《測(cè)繪學(xué)報(bào)》2017年05期

【摘要】：點(diǎn)模式及其趨同研究是揭示地學(xué)現(xiàn)象的產(chǎn)生、發(fā)展與演變,量化空間相似性分布、詮釋空間分布成因的重要方式。目前,點(diǎn)模式研究側(cè)重于已知頻率與隨機(jī)分布的一元獨(dú)立性檢驗(yàn)、距離測(cè)度下單觀測(cè)值的二元相關(guān)性分析,而針對(duì)集聚過程相關(guān)性,空間拓?fù)渑c非拓?fù)溧徑⒕C合多觀測(cè)值的點(diǎn)模式趨同量化研究顧及不足。據(jù)此,以空間鄰近性聚類、局部相關(guān)的多指標(biāo)評(píng)價(jià)為切入點(diǎn),本文提出了一種Voronoi鄰近關(guān)系支持下的點(diǎn)模式趨同提取方法。首先,以Voronoi鄰近相關(guān)表集聚算法剖分出空間獨(dú)立性點(diǎn)模式;其次,依據(jù)Voronoi鄰近關(guān)系指數(shù)測(cè)度、樣本分布均值與分布方差的趨同假設(shè),使用拉普拉斯平滑算子評(píng)價(jià)趨同度;最后,依據(jù)λ截矩陣,提取出Voronoi鄰近、非Voronoi鄰近關(guān)系支持下的強(qiáng)趨同點(diǎn)模式。試驗(yàn)以云南省騰沖市居民點(diǎn)數(shù)據(jù)為算例,經(jīng)與點(diǎn)模式構(gòu)建的聚類方法對(duì)比、趨同度計(jì)算與強(qiáng)趨同提取,驗(yàn)證了該方法的可行性與有效性。
[Abstract]:The study of point pattern and its convergence is an important way to reveal the origin, development and evolution of geoscience phenomena, quantify spatial similarity distribution and explain the causes of spatial distribution. The point model research focuses on the univariate independence test of known frequency and random distribution, the binary correlation analysis of the distance measure order observations, and the spatial topology and non-topological proximity to the correlation of the agglomeration process. The quantitative research of point pattern convergence based on multiple observations takes into account the deficiency. Based on spatial proximity clustering and local correlation multiple index evaluation, a method of point pattern convergence extraction supported by Voronoi proximity relationship is proposed in this paper. Secondly, according to the Voronoi neighbor relation index measure, the convergence hypothesis of sample distribution mean and distribution variance, Laplacian smoothing operator is used to evaluate the convergence degree. Based on 位 truncation matrix, the strong convergence point model supported by Voronoi proximity and non-#en1# proximity relationship is extracted. Taking the residential data of Tengchong City, Yunnan Province as an example, the convergence degree calculation and strong convergence extraction are compared with the clustering method constructed by the point model. The feasibility and effectiveness of the method are verified.
【作者單位】： 中國(guó)礦業(yè)大學(xué)(北京)地球科學(xué)與測(cè)繪工程學(xué)院;昆明理工大學(xué)國(guó)土資源工程學(xué)院;國(guó)家基礎(chǔ)地理信息中心;
【基金】：國(guó)家自然科學(xué)基金(41561082;41161061)~~
【分類號(hào)】：P208

【相似文獻(xiàn)】

相關(guān)期刊論文 前4條

1 孟妮娜;艾廷華;周校東;;顧及排序差異的對(duì)象群鄰近關(guān)系相似性計(jì)算[J];武漢大學(xué)學(xué)報(bào)(信息科學(xué)版);2013年06期

2 朱為;馬勁松;;用鄰近索引來加快鄰近關(guān)系處理的算法研究[J];測(cè)繪科學(xué);2008年03期

3 陳軍,崔秉良;用Voronoi方法為MapInfo擴(kuò)展拓?fù)涔δ躘J];武漢測(cè)繪科技大學(xué)學(xué)報(bào);1997年03期

4 ;[J];;年期

相關(guān)會(huì)議論文 前1條

1 杜曉初;;間鄰近關(guān)系定義及其推理[A];中國(guó)地理信息系統(tǒng)協(xié)會(huì)第八屆年會(huì)論文集[C];2004年

相關(guān)碩士學(xué)位論文 前1條

1 李磊;顧及形狀和鄰近關(guān)系的水體分層細(xì)分類技術(shù)研究[D];吉林大學(xué);2014年

，

本文編號(hào)：1696736