【摘要】：地理信息系統(tǒng)中的農(nóng)產(chǎn)品質(zhì)量安全檢測(cè)數(shù)據(jù)包含了大量的空間及屬性信息，如何對(duì)這些信息進(jìn)行有效利用以開展區(qū)域評(píng)價(jià)是農(nóng)產(chǎn)品質(zhì)量安全管理中的一大問題。而空間鄰近測(cè)度恰恰能利用空間及屬性信息進(jìn)行相關(guān)的分布特征分析。因此，將空間鄰近測(cè)度方法引入農(nóng)產(chǎn)品質(zhì)量安全管理中表達(dá)檢測(cè)點(diǎn)之間的分布關(guān)系及特征，并運(yùn)用空間聚類思想進(jìn)行進(jìn)一步的評(píng)價(jià)分析，對(duì)農(nóng)產(chǎn)品質(zhì)量安全管理具有重要的實(shí)際意義。基于此，本文對(duì)點(diǎn)的K階鄰近度理論和空間聚類方法進(jìn)行了深入研究，，并利用相關(guān)研究成果實(shí)現(xiàn)了基于農(nóng)產(chǎn)品質(zhì)量安全檢測(cè)數(shù)據(jù)的農(nóng)產(chǎn)品質(zhì)量安全區(qū)域評(píng)價(jià)。論文主要研究?jī)?nèi)容如下： 1.基于Voronoi圖的鄰近度算法改進(jìn)研究 選擇基于Voronoi圖的鄰近空間分布測(cè)度方法作為計(jì)算聚集程度的依據(jù)，并針對(duì)該方法的不足之處進(jìn)行改進(jìn)，經(jīng)過改進(jìn)后的計(jì)算方法能夠計(jì)算空間任意一點(diǎn)的鄰近度，該鄰近度反映了該點(diǎn)周圍同類點(diǎn)的密集程度。 2.基于鄰近度的點(diǎn)聚集區(qū)查找算法研究 本研究提出了基于鄰近度的點(diǎn)聚集區(qū)查找算法，實(shí)現(xiàn)了任意空間鄰近度的點(diǎn)群查找。由于經(jīng)過改進(jìn)后的鄰近度的含義就是周圍同類點(diǎn)的鄰近分布情況，所以該規(guī)則能有效的將空間點(diǎn)按照聚集情況進(jìn)行劃分。 3.基于“種類分級(jí)和頻率疊加”的權(quán)重確定模型研究 為了實(shí)現(xiàn)農(nóng)產(chǎn)品質(zhì)量安全區(qū)域評(píng)價(jià)并對(duì)上述算法進(jìn)行應(yīng)用，本文提出了種類分級(jí)和頻率疊加權(quán)重確定模型，該模型依據(jù)專家經(jīng)驗(yàn)確定常見質(zhì)量安全問題的危害程度并將對(duì)應(yīng)問題的發(fā)生頻率納入最終權(quán)重確定，能夠從種類和數(shù)量上較為科學(xué)的反映區(qū)域內(nèi)安全問題發(fā)生程度。 通過以上研究，本文建立并實(shí)現(xiàn)了基于ArcGIS Engine和C#的原始點(diǎn)數(shù)據(jù)顯示、泰森多邊形的生成、任一點(diǎn)的鄰近度計(jì)算、聚集區(qū)查找生成和制圖輸出功能。論文最后以農(nóng)產(chǎn)品質(zhì)量安全檢測(cè)數(shù)據(jù)為基礎(chǔ)，給出了根據(jù)檢測(cè)數(shù)據(jù)的空間分布對(duì)農(nóng)產(chǎn)品質(zhì)量安全進(jìn)行區(qū)域評(píng)價(jià)的應(yīng)用模型及實(shí)例，通過實(shí)際應(yīng)用發(fā)現(xiàn)效果較好并符合農(nóng)產(chǎn)品區(qū)域質(zhì)量安全評(píng)價(jià)需求，驗(yàn)證了論文中所提方法與模型在農(nóng)產(chǎn)品質(zhì)量安全區(qū)域評(píng)價(jià)中的可用性、有效性及其推廣價(jià)值。
[Abstract]:The quality and safety detection data of agricultural products in GIS contain a large number of spatial and attribute information. How to make effective use of these information to carry out regional evaluation is a major problem in the quality and safety management of agricultural products. The spatial proximity measure can use spatial and attribute information to analyze the related distribution characteristics. Therefore, the spatial proximity measure method is introduced into the quality and safety management of agricultural products to express the distribution relationship and characteristics among the detection points, and the spatial clustering idea is used for further evaluation and analysis. It is of great practical significance to the quality and safety management of agricultural products. Based on this, the K-order neighbor degree theory and spatial clustering method of points are deeply studied in this paper, and the regional evaluation of agricultural products quality and safety based on the quality and safety detection data of agricultural products is realized by using the relevant research results. The main research contents of this paper are as follows: 1. Research on improvement of neighbor degree algorithm based on Voronoi Graph the method of neighborhood spatial distribution measure based on Voronoi graph is selected as the basis for calculating the degree of aggregation, and the shortcomings of this method are improved. The improved calculation method can calculate the closeness of any point in the space, which reflects the density of the same kind of points around the point. 2. Research on Point aggregation region search algorithm based on neighborhood degree in this paper, a point aggregation region search algorithm based on neighbor degree is proposed, and the point group search with arbitrary spatial neighbor degree is realized. Because the improved proximity degree means the adjacent distribution of the surrounding similar points, the rule can effectively divide the spatial points according to the aggregation situation. 3. Based on the weight determination model of "category classification and frequency superposition", in order to realize the evaluation of agricultural product quality and safety area and apply the above algorithms, this paper proposes a kind of classification and frequency superposition weighted redetermination model. According to the experience of experts, the model determines the harm degree of common quality and safety problems and brings the frequency of corresponding problems into the final weight to determine, which can reflect the occurrence degree of safety problems in the region scientifically in terms of type and quantity. Through the above research, this paper establishes and realizes the original point data display based on ArcGIS Engine and C #, the generation of Tyson polygons, the calculation of neighbor degree of any point, the generation of aggregation area search and the output function of drawing. Finally, based on the quality and safety detection data of agricultural products, the application model and example of regional evaluation of agricultural products quality and safety according to the spatial distribution of the detection data are given. Through practical application, it is found that the effect is good and meets the needs of regional quality and safety evaluation of agricultural products, and the availability, effectiveness and popularization value of the methods and models proposed in this paper in the regional evaluation of agricultural quality and safety are verified.
【學(xué)位授予單位】：山東農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：P208;S38

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