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Honeypots and honeynets are unconventional security tools for the purpose of studying techniques, methods, tools, and goals of attackers. Analysis of data collected by these security tools is important for network security. In this paper, we focus on information about the locations, shapes of geographic features and the relationships between them, usually stored as coordinates and topology (spatial...
This paper aims to expand temperature and precipitation data through geostatistical interpolation techniques, and explore the changes and correlations between temperature and precipitation basing on the theory of Spatial Correlation. In the end, it provides new idea and methods for researching the spatial pattern and spatial changes of meteorological data.
Regional economic disparities have been a hot topic in recent academic world. This paper explores the feasibility of coefficient of variance (CV) and exploratory spatial data analysis (ESDA) in investigating the spatial dynamics of regional disparities at county level in Jiangsu by analyzing per capita GDP data from 1999 to 2008. Empirical results show that the overall spatial disparities of regional...
Data mining is the process of extracting non-trivial patterns from large volume of data. It generates insight and turns the data into valuable information. A critical yet common flaw when performing data mining is to ignore the geographic locations from where the data is taken. When this geospatial attribute of the data is taken into consideration, the process is known to be geospatial data mining...
The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, the Beijing-Tianjin-Hebei metropolitan region was taken as research object; methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of JingJinJi Metropolitan Region over the 2001-2006 periods. Through spatial...
This paper analyzed the growth trends of Shanghai resident population and registered permanent residents since the reform and opening. By applying negative exponential index model and the local spatial autocorrelation analysis, this research revealed the latest spatial distribution characteristics of Shanghai resident population and registered permanent resident, combined with comparative analysis...
The traditional spatial distributions of GDP(Gross domestic product) are calculated on the basis of administrative boundaries. This paper establishes a simulated spatial GDP model and update model instead of the traditional statistical distributions of social and economic output value which based on administrative boundaries. We use the grid analysis technology and statistical analysis technology,...
Forest site evaluation is required by forestry production and is also the basis on which forest cultivation, management and planning, and forest yield prediction can be made. Thus, it is very important to develop new methods for quickly and accurately evaluate forest sites and estimate forest site indices with small samples of field data. Based on the existing forest inventory data, this paper demonstrated...
In order to improve the accuracy of spatial forecasting based on panel data, the significance of spatial autocorrelation on the panel data is tested by Moran I, the first-order spatial autoregressive model and the Kriging algorithm model are established from the perspective of the cross-sectional data, respectively, and back-propagation neural network model trained by the genetic algorithm is established...
The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, we take the Beijing-Tianjin-Hebei metropolitan region as research object and take the county administrative division as the basic research units. Considering the spatial characteristics, the exploratory spatial data analysis method of GIS is introduced, which includes global spatial autocorrelation...
Geographic information systems (GISs) have become important tools in public planning activities, such as environmental and utility management. This type of activity requires the creation and management of different period geodata, as well as analysis of spatio-temporal data evolution. Existing GISs usually provide limited support for these operations. However, changes in the application domain are...
By using the remote sensing images of Lugu Lake scenery district in 1990 and 2005, the information about variation of forestland for 15 years has been extracted. Based on the technique of spatial data mining (SDM), both the universal geometrical characteristics of forestland variation patches and the knowledge of spatial association rules have been mined by adapting statistical analysis method and...
Spatialized population data is much closer to actual circumstances than population distribution represented in administrative units. It is also crucial for analyzing the relationship among economic growth, environment protection, resource utilization, and other interdisciplinary study. Remote Sensing (RS) and Geographic Information System (GIS) are both effective research tools of spatializing census...
Base on multi-resolution characteristic of wavelet transformation, a dynamic reconstruction method of image pyramids for remote sensing imagery is proposed in this paper. The method can solve the data redundant problems caused by traditional reconstruction methods, for which the correlation characteristic of the data between different pyramid layers is not used. It can effectively reduce the amount...
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