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  • 2011 Volume 13 Issue 5
    Published: 25 October 2011
      

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  • ARTICLES
    HU Yunfeng, WANG Qianqian, LIU Yue, LI Jun, REN Wangbing
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    With the developments of modern space information sciences, specifically relying on the quickly updated and large scale remote sensing observation technology, the derivative LUC (land use and land cover) data generations, the strong spatial analysis functions and the visual information representation functions supported by geographic information system (GIS) technology, the traditional social and economic statistics data with Relational format can be transferred to the spatial data (Vector or Grid format). This paper firstly analyzed the shortcomings of traditional statistical data in the new-era applications, which characterized by long update-period, low spatial-resolution, poor visualization effects and non-support for the spatial computing and spatial analysis. We briefly reviewed the history of theoretical studies and database constructions of society and economy grid database. Based on the clarification about the concepts of grid process of society and economy statistics data, three basic requirements, i.e. temporal compatibility, space reference system compatibility and self-consistent logic, were put forward as the main principles in the transferring process, and a series of key index including 24 items to build a national scale society and economy grid database were posted. Then, based on the above data transferring principles and index system, we discussed the 5-step transferring processes which include (1) logical checking, (2) spatial matching, (3) code matching, (4) spatial discretization, and (5) checking and calibration. We also analyzed the general models to transfer the rational datasets into grid dataset in detail, and discussed the corresponding strategies when people integrate different datasets. Finally, we summarized the common questions and suggested that the spatial discrete model construction and the quick update routine works to prepare the background resources/environment datasets are the main focuses in the future studies.
  • ARTICLES
    YANG Cunjian, NI Jing, ZHANG Yang, MU Lin
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    Forest carbon density is an important indicator reflecting the level of forest ecosystem function in ecological service and product supply. The methodology proposed here was used to create geographic database of forest biomass carbon storage, biomass density and carbon storage density based on forest resource investigations, and to discover the knowledge of forest carbon density distribution based on the geographic database. The geographic database of forest biomass carbon storage, biomass density and carbon storage density were created, and the knowledge of forest carbon density distribution was discovered in Shimian County by using the methodologies. There was 3.64×106ton C in the forest of the county, and there was 83% in fir, spruce, hemlock and birch forest. The carbon density of the woodland was 40 t/hm2, that of the spruce forest was 47 t/hm2, and that of fir forest was 43 t/hm2. With the increasing of slope, carbon storage increased, and with slope above 25° accounted for 91% of the total carbon storage. Carbon density in slopes above 25°was larger than that below 25°. Carbon density of the forest lands with very slight and moderate soil erosion was 42 t/hm2, higher than those with severe soil erosion, say 29 t/hm2. Forest carbon density significantly related to its canopy density at confidence level of 0.05. It was shown that spruce and fir forests were protected well, and of higher carbon density. The higher the carbon density, the weaker the soil erosion was there. The results played an important role in protecting forest resources, especially for provincial and national nature reserves in that county.
  • ARTICLES
    CHEN Hao, DENG Xiangzheng
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    The heterogeneity of regional economic development is one of the hottest research fields among regional sustainable development topics. In this paper, the study was focused on the issue whether the gap of economic development level between regions was expanded (divergence) or narrowed (convergence) since China's reform and opening up. The spatial autocorrelation analysis of nominal GDP per capita data of provinces and municipalities in China during 1980-2008 were made and the provincial differences of economic development level were analyzed. Research results showed that there were significant positive spatial correlations in the overall situation after 1984 between provinces in China in the economic development, and the positive spatial correlation between provinces became more and more significant and strong as time went on. One of the most intuitionistic inferences of this research result was that the gap of economic development level between provinces in China was narrowed during 1980-2008 and the gap converging speed of economic development level between provinces in China was rising. In other words, the differences of regional economic development in China were converged in the overall. In addition, we introduced the traditional methods of σ-convergence model of economic studies to test and verify the conclusions of spatial correlation analysis. The σ values in each year were calculated by using the 1980-2008 real GDP per capita, which proved the correctness of the inference: the difference of economic development level between provinces in China was convergent during the 1980s, temporarily divergent in the early and middle 1990's and convergent again from the late 1990s to 2008, and the overall trend of the gap change of economic development level between provinces in China was converged. These results demonstrated the reliability and importance of using the spatial analysis method to analysis the convergence and divergence of economic development. This research could be used as a scientific reference for regional development in China.
  • ARTICLES
    MA Fei, KAN Aike, LI Jingji, GUAN Lei, CHEN Xiaoqin
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    The Mt. Qomolangma National Nature Reserve was established on 18 March, 1989. In March 2005, it was listed in the global biosphere protected area network, for the marsh wetland there is very important to the environment of this region. In this paper, we took the Mt. Qomolangma National Nature Reserve as the study area, selected all 23 MODIS NDVI images of 2009, used the HANTS algorithm based on Fourier transform to remove the interference of the cloud and reconstruct NDVI time series images. The spectral angle mapper (SAM) was used to extract marsh wetland of the study area according to the different phenological characters between marsh wetland and other surface features. The area of marsh wetland is 2481.13km2, which account for 6.88% of the total study area. Its distribution in Tingri County was the most abundant, which account for 36.85% of the total marsh wetland area|followed by Dingjie, Nyalam and Gyirong counties, the proportions are 25.79%, 24.5% and 12.86% respectively. According to the characteristics of the study area, we evaluated the potential degradation risk of marsh wetland in the study area by selecting annual mean temperature linear trend as natural risk factor, influences of settlements and roads as artificial risk factors which are based on distance decay theory. This paper divided general risk assessed results mainly into five grades, that is, the lowest risk, lower risk, moderate risk, higher risk, and the highest risk. The proportions of the total marsh wetland area in the study area are 7.39%, 13.61%, 24.72%, 31.43% and 22.84% respectively.
  • ARTICLES
    LIU Rui, HE Jin, HU Weiping
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    Relationship between traffic road and urban land use expansion is complex and uncertain. Traffic road plays an important role in transportation and is a major driving force of urban land use expansion. Therefore, traffic road has great impact on urban expansion and development. Also, urban expansion has new demands for the development of traffic road. The paper tries to analysis the interaction between road network and urban construction land in Guangzhou-Foshan metropolitan area, to reveal the structural feature and evolution law of urban construction land in different developing stages of road network under multiple-core synergism. Based on topographic maps of 1957 and 1983, and remote sensing images acquired in 1995 and 2008, the normalized thematic data of road network were extracted. These road network data and construction land data were stored in database which was built up in ArcGIS. Using correlation analysis method, we quantitatively analyzed the interaction between road density and urban construction land expansion. The results show that: The variable coefficients of road density and urban construction land proportion present a highly positive linear relationship. Different years of road density and urban construction land expansion have an interrelationship. Districts with high road density correspond to the districts with intensive urban construction land. Districts with rapid development of road density correspond to the districts with rapid expansion of urban construction land. From the first two periods, the number of districts with rapid development of road density is bigger than the number of districts with rapid expansion of urban construction land. Compared with the development of road, the expansion of urban construction land has a slight delay. The expansion of urban construction land is stimulated by road development. During the last period, urban construction land expanded rapidly. The number of districts with rapid expansion of urban construction land is bigger than the number of districts with rapid development of road density. The expansion of urban construction land stimulates road development.
  • ARTICLES
    CAO Yanrong, LV Guonian, WU Pingsheng, HE Jianbang
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    Geographic information sharing emerged with the birth of human civilization, since ancient times people are sharing information to others. At present, geographic information sharing, which is supported by information technologies and network technologies, is a complex project that needs to solve the problems of technology, standard and policy. Geographic information sharing is related to many domains, such as national economic, political, military, and so on. The fundamental purpose of information sharing is to share the maximum use of resources. We have some approaches to do it: to increase the amount of information and to improve their quality, and to speed up the rate of information utilization. There are two ways to achieve the goal. Firstly, depending on science and technology, it reduces misunderstanding and uncertainties in information utilization, in other words, according to objective laws to understand and use information. Secondly, how to produce management rules which will be used as guideline for understanding information and using information from understanding which reflect objective laws accurately. All of these sharing behaviors for understanding and using information are done by people, and people's behavior also follows the economic rules and laws of social development. The core of today's theory of property rights is to encourage people to understand and apply objective things, in order to maximize their resources into social wealth. This paper discusses definition and purpose of geographic information sharing, and presents that geographic information sharing is a complicated system consisting of geographic information, information technologies, and information sharing rules. At the last, this paper analyzes the position of geographic information resources property in geographic information sharing.
  • ARTICLES
    HUANG Li, ZHOU Wei, WANG Furong
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    With the high costs of geographic data and its conversion the data transfer barrier becomes a major obstacle in reusing geographic data for geographical information systems (GIS). Data sharing is one of the most effective methods on breaking this barrier which can promote developing and reusing geographical data. It has broken the monopoly of information resources and reduced the "digital divide". So it has great significance in promoting social and economic development. For the lack of researches in data sharing assessment, we proposed a user-oriented method of assessing the data sharing. For the same sharing data, the results of data sharing assessment may be different with different users. So when assessing a sharing data, each user should evaluate firstly and then all results should be considered in the final evaluation result. We firstly design the assessing factors which affect data sharing. In this paper, we make range of sharing, quality of sharing, social benefit, economic benefit, data security and services of sharing as first-grade factors, and on the basis of each first-grade factors, we design corresponding second-grade factors. Secondly, we construct judgment matrixes and calculate weighs of factors by AHP (Analytic Hierarchy Process) and Expert Consultation Method. Thirdly, according to different factors, we use defection subtraction method or method of score standardization in calculating scores of factors. Fourthly, we use the method of weighted sum to calculate the result of data sharing assessment of each user. After getting the results of all users, the average value is calculated as the final score of the data sharing assessment. In this paper, we use the method proposed to assess the data sharing of the government digital map as an example and the functions are implemented by coding. The method realizes the assessment of data sharing, which is benefit in improving the quality of data sharing. It can promote the performance of data sharing and reduce the wasting of resources in data sharing.
  • ARTICLES
    SHEN Jie
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    The study of map generalization has continuously kept up with the pace of the development of cartography and geographic information science. Map generalization has experienced the following steps: early geometric measurement of map elements, graphic simplification, map generalization knowledge applying, map generalization quality evaluation, map generalization methods integration and on-the-fly map generalization and map generalization services. Due to the requirements of mobile geographic information services that the usability of maps have to apply 4A services (Anytime, anywhere, anyone, anything), the theories and technical methods of map generalization in mobile environment should be updated. In this paper we discussed the concept, characteristics and system architecture of map generalization in mobile environment. First, in the broader sense we explained the concept of the mobile environment which the map generalization deals with in and then put forward that this environment should at least include four parts such as computing environment, visualizing environment, transmission environment and applying environment and pointed out that map generalization are different with the traditional map generalization in these aspects. Then we elaborated the concept of map generalization in mobile environment from the point of the fundamental problems in map generalization. Based on the mobility of the user, the characteristics of mobile map generalization such as the range, interaction, constraints, efficiency, visualization were analyzed from different aspects such us the happening mechanism, map cognition and map information transmission. Based on the service architecture of OpenGIS and the Client-Server architecture of mobile GIS, we designed the system architecture of map generalization in mobile environment and analyzed the functions of client and server. At last, we put forward the implementing methods of the system. We used PostgreSQL/PostGIS as the spatial database management system, implemented some map generalization algorithms based on JTS in JUMP and realized the mobile map visualization based on GML and SVG. In this paper we took Hunan road business district of Nanjing as the test area and realized the hierarchical building simplification.
  • ARTICLES
    XIAO Guirong, NIE Qiao, WU Sheng
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    Logistics essentially refers to material entities movement process with distinct spatial measurement and spatial characteristics, where integration and application of spatial information techniques and other modern techniques of logistics management are needed. This is a new interdisciplinary research fields where to extent spatial information services combined with web services and geospatial analysis to the area of logistics management, and then integrate the concept of spatial information services into modern logistics services system to carry out logistics oriented spatial information web services access, integration and application. What's more, the key point to analyze logistics spatial phenomenon from the geographic perspective. Based on OGC web service framework, this paper we have put forward design and built the architecture of logistics spatial information services mainly include the mechanism for service integration, high-efficiency call and service composition and the model of integration based on web services, which clear its inherent elements and the relationship. Besides, we designed and developed the mechanism for service composition based on Net-Petri and Logistics Web of web service engine, which resolved the problems of dynamic access, high-efficiency call and real-time integrate to the logistics spatial information services. This work provided a new way and measure to the spatial information services being further developed and applied in the logistics area. By this way, even though the logistics information system constructors don't have a professional GIS background, they can also call spatial information service in their own programs. According to our study, the means of techniques of integrating and applying the logistics spatial information services, which achieve the dynamically composited and collaboratively integrated effectiveness and the practical experience for logistics spatial information service system construction.
  • ARTICLES
    JIANG Huixian, HUANG Dacang, LIN Guangfa
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    Sudden leakage has become a growing threat to public safety in cities. In this paper, using the emergency response to sudden leak accidents, which is a practical problem threatening public safety in cities as the entry point, we studied the simulation technology of sudden gas diffusion process on city-block-scale. Focused on the leakages that threaten urban public security, we suggested a point source gas diffusion model suit for city-block-scale and constructed a 3D spatio-temporal gas diffusion simulate model coupled with GIS. We use it to simulate the extent of the diffusion area for pollution monitoring and data analysis, and virtually reason the accident's damage degree to public and the subsequent development. So that the accident response support decision system can be constructed, the evacuation path and time can be calculated, the emergency rescue plan can be optimized. The most remarkable characteristic of the emergency rescue problem is the time urgency that decision-makers should propose emergency rescue plan within the shortest possible time, and that adequate rescue vehicles, personnel, and supplies would be mobilized and arrive at the accident sites at the fastest speed to carry out rescues. Faced with massive sudden leakages, it is very essential to optimally distribute the emergency rescue points for being able to effectively control disaster and to successfully carry out rescue activities. According to the spatial distribution of the emergency rescue points around the accident areas, we explored the algorithm for seeking the best path of aid resource allocation, obtaining the optimal solution to the distribution of the emergency rescue points through dynamic optimization strategies.
  • ARTICLES
    WU Minjie, YUAN Linwang, YU Zhaoyuan, LI Yu, HUANG Zhenfang
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    Space-time distribution, evolution regularity and interaction between tourist flow and related factors are basic and prerequisite to make good tourism decision. There are many difficult problems in current tourist flow research, the variety and complexity of data sources, the dispersion of theories and models, the difficulty and complexity in analysis, rebuilding and express of process characteristics and so on. In this paper, model integration framework for space-time characteristics analysis is constructed in terms of the sorting results on kinds of existing spatio-temporal characteristics, process, and interaction models. With ArcGIS Engine as a basis platform, we build the GIS prototype system supporting space-time characteristics analysis and representation. Based on the unified storage and management of multiple data, the system built a unified data structure, many data interfaces and one kind of data analysis process, which support spatio-temporal characteristics analysis and visual display; based on the model integration framework in the paper, integrated these representative analysis models, realize the analysis of spatio-temporal characteristics, process, and interactions between; in the end, gave a deep analysis and good express for spatio-temporal characteristics and processes. Case studies suggest our system can: ①reveal the different phases and cyclical patterns of flow evolution and indicate the temporal and spatial pattern, variation, concentration and proliferation; ② show the spatial patterns and process of tourist flow and its relevant elements, the time and space clustering characteristics of tourist flow evolution; ③ display the space-time configuration and spatial interaction between tourist flows and the related elements and comprehensive evaluation on structure and process of spatial interactions; and ④ provide visualization of spatial-temporal characteristics and process. Our work can provide efficient tools and methods for tourist flow researches.
  • ARTICLES
    PING Bo, SU Fenzhen, ZHOU Chenghu, GAO Yi
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    Due to shading of clouds and objects on the ground and due to the performance of sensors, the part region of field inversion data by remote sensing may be incomplete, which makes it harmful to use these data for further study. The way to recover the incomplete field inversion data accurately and quickly seems to be significant. Matrix completion (MC) has been proposed in recent years, which is mainly used for low rank matrix. Because of the quality of low rank, the data of the matrix has high correlation, so the matrix can be high accurately recovered with MC. SVT (Singular Value Thresholding) algorithm is one method of MC, which could recover missing values in the matrix rapidly and accurately. In this paper, we introduced the SVT algorithm for matrix completion and we used this algorithm to complete the missing data points which were selected in different regions. Making the missing data points be the center of a region of square and the size of the square is selected by the criteria of the smallest variance. Use SVT algorithm to complete this square region and name this method local SVT algorithm (LSVT). Comparing with the SVT algorithm for the whole region data that is named WSVT which is based on the whole experiment area, inversing distance weighting method (IDW) and Kriging method respectively, we conclude that the precision for LSVT is higher than WSVT and IDW method. Also, the precision changing trend for LSVT is similar with Kriging method and the precision for LSVT is higher than Kriging method in sea front region.
  • ARTICLES
    WU Zhijie, XU Hanqiu
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    In this study, a normalized difference mountain vegetation index (NDMVI) is proposed using Landsat TM/ETM+ images. The new index aims to correct terrain influence on the vegetation measurements of the NDVI (Normalized Difference Vegetation Index). Through analyzing the different spectral reflectance characteristics of vegetation between sunny and shaded slopes in the complex mountainous region, we developed a new index to introduce two parameters to adjust values of the near-infrared and red bands of the Landsat TM/ETM+ image. The newly developed index has advantages over the NDVI in correcting terrain impact and over the other similar terrain correction vegetation indices in that it does not need other supplement data such as DEM for the model. The study shows that the NDMVI has nearly no significant correlation with cosine value of solar incidence angle and is not sensitive to the terrain changes. Therefore, this new index can more effectively suppress the influence to vegetation observations due to terrain difference better than does the NDVI. In addition, the NDMVI has a wider dynamic range than the NDVI does, and thus, could distinguish different land cove types more effectively than the NDVI. We concluded that, compared with the C-correction model, the new index can achieve a better performance because it has avoided the over-correction bias.
  • ARTICLES
    WANG Rui, LI Hu
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    The change of Normalized Difference Vegetation Index (NDVI) can reveal the evolvement of environment. Long-term quantitative analysis of vegetal distribution and change can illustrate the reason of environment change, and has become a research focus in recent years. In this paper, we made Mongolia as the study area, analyzed the annual and interannual changes, fluctuation degree and the spatial trend of vegetation distribution by 1 km MODIS-NDVI from 2001 to 2010. The MVC method, average value method, difference value method and linear regression method were used to analyze the annual and interannual changes. The results were: 1) MODIS-NDVI was highly sensitive to growth and change of plants, so it could be effectively applied to evaluate and monitor vegetation ecology; 2) Seasonal change of NDVI was remarkable in Mongolia, NDVI was abundant during summer and autumn, while was poor during winter and spring; 3) In recent ten years, the peak values of vegetation coverage occurred at the year of 2008 in spring, got into valley values in 2010, presented a retrograde tendency on the whole. The summer vegetation coverage and winter vegetation coverage changed slightly, in general the growth of plants was a little better in summer during the past decade, but was gradually reducing in winter. In autumn, the fluctuation of vegetation growth was wider, but still kept a increasing trend in general; 4) As for interannual change, the fluctuating range of NDVI variation was relatively wider from 2006 to 2010, the NDVI degradation was popular in spring and the NDVI coverage was increased during other seasons, and the extent of improvement was slightly higher than the extent of degradation; 5) According to the NDVI trend of Mongolia during 2001-2010, the vegetation area which kept a relatively steady state was 72.40% in spring, 70.30% in summer, 84.01% in autumn and 77.53% in winter, indicating that the NDVI coverage of Mongolia showed a overall stable, locally lightly improved trend in the past ten years; And 6) from the spacial distribution, the stable region was widely distributed on a national scale, the improved region was mainly distributed in the eastern part of the country and the degraded NDVI coverage was mainly distributed in the central region.
  • ARTICLES
    WANG Yong, ZHUANG Dafang, XU Xinliang, JIANG Dong
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    As global environmental issues become more and more prominent, remote sensing technology with large amount of information to monitor global environmental change has become an important manner. Macro-ecological environment remote sensing monitoring system is implementation of environment remote sensing applied technologies. The architecture of the system and the transaction flow diagram and its core functions are introduced. At the same time, the model transformation and implementation of technology, real-time projection conversion technology, a combination of file-based data and database management technologies, XML-based real-time data exchange technology, automated production technology are expatiated. The prototype system is constructed using .NET and IDL mixing programming language and its application examples are presented. System application results show that this system meets the remote sensing monitoring requirements using macro-ecological environment business applications model to improve the environmental protection department level under the normal mode and emergency capability under the emergency mode. This system can play an important role in the macro-environment remote sensing monitoring and evaluation.
  • ARTICLES
    QIAN Zhiqi, ZHANG Youjing, DENG Shizan, FANG Yingying, CHEN Chen
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    For the requirements of integrating the Energy and Water Balance model into the remote sensing model, in this paper we developed a basic technological process of land-surface evapotranspiration remote sensing monitoring system using C# language mixed with ENVI/IDL (which flexibility offered digital image processing) and ArcGIS Engine (which has powerful functions in spatial analysis), and designed the hydrometeorological and remote sensing information database and the pattern of integrating the Energy and Water Balance model into the remote sensing model. Then we researched the method of evapotranspiration (ET) unit derived and the function of regional ET evaluation based on multi spatial and temporal scales. By all of above, integration and application of the Energy and Water Balance model into the remote sensing model were implemented. The study area of this research is Sanhuajian basin which located in Yellow River. The process experimental data is MODIS (Moderate-resolution Imaging Spectroradiometer) image which date from August 2002 to August 2009. The system extracted the parameters related to ET which include surface temperature, water index, vegetation index, impervious surface and etc, and completed part of the land surface ET parameter extraction task. By using the modul of ET processing batch the system achieved the requirement of the ET derived completely. The report generated by the statistical report modul displayed the basic thematic statistical information and the remote-sensing monitoring thematic map information. The results show that this remote sensing monitoring system has the advantages of short execution time and high efficiency and friendly human-computer interaction, and it is helpful to solve the crux of complication processes in land surface ET estimation using routine remote sensing softwares, and it has been of great practical value.
  • ARTICLES
    LU Chaoping, LV Heng, LI Yunmei
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    Quantitative remote sensing inversion of constituents in Case II waters has been a difficult and hot issue. It is due to the complex interaction among the constituents (e.g. pure water, phytoplankton, non-phytoplanktonic suspended solids and CDOM). In this paper we analyze the spectral decomposition algorithm of the optically active substances (OAS) in Taihu Lake. It contains two steps. First step is to obtain standard reflectance spectra of end-members (Chl a, NPSS, CDOM and pure Water) by simulation experience using Hydrolight; second step is to establish a number of equations (according to the numbers of end-members) obtained from different wavelengths and derive the decomposition coefficients to be used as the independent variables in the SDA-based estimation model. The results show that the decomposition coefficients obtained from spectral decomposition algorithm are highly independent. Moreover, we build the band ratio model based on the same data as the spectral decomposition algorithm. Then we apply the two models to the experimental data in November, 2008, and get the average relative error of 22.4% and 37.7%, which shows that to some extent the spectral decomposition algorithm has more seasonal versatility than that of band ratio model. The average relative error of chlorophyll concentration estimation model is 31.7%, which shows low inversion accuracy. The reason may be due to the concentration of chlorophyll is too low compared to non-algal suspended solids concentration. The average concentrations were 17.3μg/L and 78.6mg/L. So, to some extent, the spectral information of chlorophyll is concealed by the high suspended solids.
  • ARTICLES
    TANG Zhihua, ZHU Xianlong, LI Cheng
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    Based on the principle of the CLUE-S (the conversion of land use and its effects at small region extent) model, taking Yangzhou City area as an example, we firstly collected the required data, including basic geographic data (vector data and image data) and statistics data, then preprocessed the image data, including ETM images in 2001 and ALOS images in 2007, and took use of object-oriented information extraction method to obtain a land use map for two periods (2001 and 2007). We selected the driving factors and used GIS spatial analysis tools to get a variety of spatial distribution of all the driving factors, set the model parameters, and took the land-use map in 2001 as the model input data to simulate the spatial pattern of land use of 2002-2007 in Yangzhou City area. Finally, we obtained the actual land use map of 2007 in Yangzhou City area by using the object-oriented data extraction method, and tested the simulation results of 2007 in Yangzhou City area and analyzed the applicability of the CLUE-S model. The result shows that the CLUE-S model could simulate preferably the spatial distribution pattern on a small-scale. Therefore, it could provide guidance for small city planning. So the CLUE-S model is one of the land use/land cover change models that worth to be made more widespread.
  • ARTICLES
    SUN Jinli, CHEN Jie, DENG Min
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    Transmission and expression of multi-scale spatial data is of greatly significance for the quality of the evaluation of progressive transmission of spatial information by geometric similarity measurement, which has plagued GIS researchers for a long time. The same feature from different sources or different scales is usually similar on the map, so the similarity measurement of geometry shape is conducive to the preparation, query, match and update of the map. The line features on the map are in many high proportions, so this paper proposes the line features geometry similarity measurement models of spatial data on the basis of the predecessors. And then, a reclassification of geometric similarity measurement is made from the consideration of distance, shape, length. The corresponding geometric similarity measurements are further developed, including: (1) differences in distance as the similarity, considering shape differences and relative positions of spatial objects; (2) the fractal dimension as a similarity of shape similarity, to a large extent, being able to express morphological characteristics of spatial objects; (3) the length or girth size as the similarity. Relative to (3) length similarity, (1) position similarity and (2) shape similarity are both considered the overall statistical methods and local geometry structure. To complete the linear multi-scale geometric similarity measurement experiments of spatial data, and compare the relationship of different transmission volume and geometric similarity measurement by multi-scale linear features as the experimental data, the experimental results show that location similarity based on generalized Hausdorff distance model is feasibility to progressive transmission of spatial data. The change for location similarity measurement is smaller than those with other methods based on the same amounts of data transmission, indicating that the algorithm (generalized Hausdorff distance model) solves the similarity problem of the same feature. Finally, this paper summarizes main findings, and highlights further research directions in the near future, such as match, query, update and other issues for multi-scale spatial data.
  • ARTICLES
    LIU Eryong, WANG Yunjia
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    In recent years, spatial data acquisition methods were significantly improved, such as LiDAR, which usually generated hundreds of millions of points. These amounts of datasets create great challenges to computation capacity of computers. In the past several years, the computing capacity of graphical processing unit (GPU) has improved significantly, too. General-purpose computing on GPUs has come into notice. GPUs are an aggregation of streaming processors. The amount of streaming processors in latest device exceeds 240. The peak floating-point operations per second of CPUs are ten times slower than that of GPUs now. A new software platform, called Computer Unified Device Architecture (CUDA), allows GPU programs to be developed in ANSI C. Parallel parts are worked on GPUs based on kernels, which are invoked by the CPU. Each kernel works on a grid of blocks, and each block is an array of threads. In the application process, each block is mapped to a multiprocessor, and each thread is mapped to a streaming processor. A typical CUDA program follows the flows as follow. First, the host function begins by locating one or more buffers in the GPU global memory and conveys the data to them. Then the CUDA program is started more times by appointing the number of threads per block. Finally, the results are transformed back to CPU memory. GPUs have been applied to solve many problems in signal processing, computational geometry and so forth. However, little has been used in spatial interpolation. CUDA Inverse-distance weighting (IDW) algorithm is the most frequently used model in spatial interpolation because it is relatively easy to compute. However, when dimensions increase, obtaining fast running time remains important. In this study, we explore the parallel algorithm for IDW, using the CUDA developed by NVIDIA. The main objective is to compare running times using CPUs versus GPUs under the same conditions. The numerical experiments show that processing speed of CUDA-based algorithm is 6 times faster than that of CPU-based method.