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The question which how to select the most superior fitting mode of variogram is one of basic questions which in current geostatistics not yet completely solves. In view of this question, this article proposed take lag as the weight coefficient to establish objective function and establish the variogram fitting method based on the evolutionary programming. This method dynamic estimates the parameter...
Using strain precursor to predict the earthquake has proven to be crucial for earthquake early warning. However, there is currently problem that it is hard to establish more effective intelligent analyzing models for earthquake early warning. In this paper, we introduced the core concept and ideas of JRG Sub-cluster statistics theory and three risk limits at first. Meanwhile, we put forward the analyzing...
The paper has done systematic analysis to safety of offshore platforms, indicators system of which has been established, we comprehensively study safety evaluation of offshore platforms with grey theory integrated method that using gray statistics method to establish evaluation matrix, determining the weight of related indexes with the gray connection analysis and carrying on the comprehensive judgement...
With the rapid development of database technique and computer technology nowadays, it is no longer a difficult problem to manage mass statistical data with computer and database system. However, from the statistical mode and time series of rural socio-economic statistical survey, we know that the statistical data have both spatial and temporal attribute, so the traditional systems have no enough ability...
With the rapid development of remote sensing technologies, the amount of the remote sensing image data is increasing dramatically. However, the remote sensing image data's usage rate still remains very low. To solve this problem, we propose a new Service model: Anytime-Anywhere Service (AAService) model, under which users can get remote sensing images anytime and anywhere. Then we implemented and...
The analysis of spatial cluster is an important issue in the field of spatial data mining. After investigating the general approaches of spatial cluster, based on the distance transformation of map algebra, a clustering model is designed, and an approach of spatial cluster Based on Map algebra is proposed. Finally, the experiments has been executed with the geo-spatial statistical data about the Entertainment...
Urban underground pipeline charged with the important tasks of energy transportation and material transport, which is the material basis for city's survival and development, is called the “lifeline” of city. Urban underground pipeline information system should apply the integrated technology of GIS to management, analysis and safeguard in urban underground pipeline, which describes the distributed...
The paper explores a framework combining remote sensing and GIS-cellular automata concepts aimed at improving the modeling of un-authorized development. We highlighted that this integration will lead to new levels of understanding of how urban areas grow and change. Further, we describe an unauthorized development for the city of Kuantan in Malaysia, in which urban cellular automata (CA.) concepts...
The computerization and the creation of a digital data base is a must for the employment of many of the state of the art tools in the Optimal Planning process. This is easy made using Geographic Information System (GIS). GIS is an effective modern planning technique which gives the power to create maps, integrate information, visualize and solve problems, present future ideas and develop valuable...
The strength of model link lies in analyzing spatial data and generating useful information. The linked model have a quantitative specification essentially like empirically based models: statistical models provide high degrees of precision and specified levels of sensitivity and reliability. It also hoped to solve some problems encountered by empirically based approaches through behavioral parameter...
Traditional decision-making methods usually provide the description of statistical information, which is difficult to obtain spatial knowledge. On the other hand, it is easy to display the spatial information by GIS, but the technique of GIS seems not so effective in analysis of complex decision-making problem, when most data are ??non-spatial??. This paper particularly analyzes the process of decision-making...
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent growth in observations and model outputs, combined with the increased availability of geographical data, presents new opportunities for data miners. This paper maps climate requirements to solutions available in temporal,...
This paper develops and demonstrates a taxi pre-alarm system which is based on transportation hub information platform and urban taxi information platform and running in transportation hub in order to maintain continuous, enough and rational taxi supply and aiming at improving the taxi service lever of transportation hubs. The system is mainly made up of three key models: real-time taxi-demand estimate...
The snow-covered information, including snow-covered area, snow depth and snow water equivalent have been extracted from the remote sensing imagery of CBERS-02 satellite over the area of Jiaodong Peninsula in west Shandong Province, one of the snowiest regions in China. Based on the pre-processing of remote sensing data of CBERS-02 imagery, the statistical analysis of spectral characteristics has...
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