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In this paper, we study the methods of constructing place-name ontology of Beijing based on attribute properties and spatial relation properties of place-name entities from the perspective of spatial cognition. Firstly, we locate place-name entities in the coordinate frame of Beijing city qualitatively and define the concept of place-name entities combining with the types of them. And then select...
Yuncheng, located in Shanxi graben basin, has been suffering large scale ground fissures hazard, which seriously constrained the urban construction and economic development. In order to monitor and mitigate this hazard, this paper thoroughly analyzes each hazard-formative factor of ground fissures, such as faults, earthquake, land subsidence, geomorphology, stratum and rainfall. Then we establish...
Most traditional epidemiological studies are based on the statistical analysis rather than spatial information. Therefore, the study combining spatial analysis with epidemiology is a promising and perspective field. This paper, based on the technology of GIS, the method of disease mapping and traditional statistics, is focus on the spatial data of influenza A virus subtype H1N1. A spatial database...
It is very common to use the RS data for the work of researchers. Facing a mass of RS data, This paper use the scripting language python language and arcgis software, organize the corresponding program and make tools, integrated into arcgistoolbox, and consequently to simplify data management. The python and arcgis software are very useful to promote the data management speed and precision to the...
Quickly and accurately extract the water body information from remote sensing image is an important work in water pollution monitoring and LUCC research. In this paper, water body information of Yixing city in the west of Taihu Lake, China was extracted based on ALOS AVNIR-2 multispectral image, using the multi-level and multi-rule decision tree method. The image was acquired on 29 November 2007,...
Firstly, this paper analyzes the status of energy consumption in Henan Province, and then the improved GM (1, 1) model is used to predict the energy consumption and energy structure in the following several years; it shows that the energy structure is unreasonable in the coming years; coal is consumed too much and the ratio of natural gas, renewable energy and new energy should be increased. Finally,...
Voronoi diagrams for cross generators are difficult to construct because of their complicated position relation. In traditional algorithm, when generators cross or coincide with each other, production process will be extremely complex because we have to consider separately these parts. In this paper, we use discrete construction of Voronoi diagrams. The algorithm can get over all kinds of shortcomings...
Beijing is the capital of China, Beijing has a very large area as a city is, with a huge number of population, at the same time, it has well-developed lines of communication, a huge number of buildings, the system of buildings also extremely complex, as a result, there would be so many obstacles for people to cognitive this areas, especially for the people who are not familiar with this city, this...
Often in face of deciding schemes with many factors in production and life, relational analysis of the factors is an important basis of decision. The decision method is analyzed and studied to avoid strong subjectivity and improve weighting rationality. Optimization and entropy of information are used to adjust the weighting values of each factor and BP neural network to learn how to train assignment...
The traveling salesman problem (TSP) is a classical combinatorial optimization problem of operations research's area, which is simple to state. However, this problem is known to be NP-hard, and cannot be solved exactly in polynomial time. Therefore, it would seem to be an ideal candidate for nonstandard algorithmic approaches, such as natural computation. Natural computation is the computational version...
In this paper, a forecasting method, combining grey model (GM) with partial least squares regression (PLS), was applied to forecasting city terminal energy consumption for the first time. PLS is of the advantage of overcoming the correlative affect among independent variables, distinguishing the system signal from noises, and explaining dependent variables well; GM (1, 1) model is able to overcome...
Spatial relationships, which refer to the relationship among some geographical entities, are very important in geographic information systems. Involving the relations of topology, distance and direction, route choice problem is also the contents of spatial relationships. This paper aims to explore the ring roads impact on travelers when choosing routes in Beijing, and to provide a reference model...
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