Titlebook: Geo-informatics in Sustainable Ecosystem and Society; 6th International Co Yichun Xie,Anbing Zhang,Lili Feng Conference proceedings 2019 Sp

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https://doi.org/10.1007/978-3-662-06647-8lity factors, the analysis of the laws and predictions is of great significance to water quality early warning. In this paper, the time series prediction method ARIMA was used to analyze and model the water quality factor NH. concentration in Zhuyi River. The results show that ARIMA has a high degre

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Anita Runge,Lieselotte Steinbrüggee, optimized to determine the initial clustering center K - means algorithm requires some parameter values, artificial subjective makes the clustering results. Therefore, based on the compactness information of the sample distribution in space, this paper proposes a k-means algorithm to optimize the

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Andrea Peters,Regine Haschka-Helmerte sensing images in 1989, 2000, 2010 and 2016. The maximum likelihood method is used to classify the land cover in the study area, and the classification data of all kinds of land are analyzed. A Markov model is set up to predict the land cover change in Shenyang in the next 14 years. The results s

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Die Frauenheilkunde der Alten Weltatures selection and classifier use are studied, and a change detection method using hierarchical decision tree is proposed. Firstly, fractal net evolution approach was used to obtain image objects, and the optimal scales of vegetation, water, and man-made objects were determined by evaluation index

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Geo-informatics in Sustainable Ecosystem and Society978-981-13-7025-0Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Titlebook: Geo-informatics in Sustainable Ecosystem and Society; 6th International Co Yichun Xie,Anbing Zhang,Lili Feng Conference proceedings 2019 Sp

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