鉴于数据提供者与数据需求者之间的矛盾是促使W ebG IS产生、发展的直接动力,为此围绕着在W eb环境下如何以3维空间可视化方式来实现地理空间数据共享与互操作的问题,以X3D/XML数据流作为不同结构的地理空间数据之间联系的桥梁,建立了...鉴于数据提供者与数据需求者之间的矛盾是促使W ebG IS产生、发展的直接动力,为此围绕着在W eb环境下如何以3维空间可视化方式来实现地理空间数据共享与互操作的问题,以X3D/XML数据流作为不同结构的地理空间数据之间联系的桥梁,建立了一种新的组件式W ebG IS体系结构———Geo-SD SH IP(Geo-Spatial DataSharing and Hand ling Integrated P latform)。为了更好地阐述基于X3D/XML的组件式3维W ebG IS平台的有效性、可行性,首先对Geo-SD SH IP体系结构组成及其特点进行了深入的阐述,并给出了Geo-SD SH IP体系结构框架图;接着,详细介绍了基于X3D/XML的Geo-SD SH IP体系结构中各组件实现的关键技术,如W eb-3D虚拟地理场景的创建、用VC++.Net和ArcOb jects来构建X3D/XML数据转换组件和G IS空间分析组件,以及用VC++.Net结合OpenGL图形函数库来实现X3D/XML数据解析组件等;最后,举例说明了Geo-SD SH IP体系结构的数据转换服务请求/响应过程、数据需求服务请求/响应过程,并通过在国家自然基金项目和中国科学院知识创新工程重要方向性项目中的成功应用,证明了Geo-SD SH IP体系结构的有效性和可行性。展开更多
With the continuous development of urbanization in China,the country’s growing population brings great challenges to urban development.By mastering the refined population spatial distribution in administrative units,...With the continuous development of urbanization in China,the country’s growing population brings great challenges to urban development.By mastering the refined population spatial distribution in administrative units,the quantity and agglomeration of population distribution can be estimated and visualized.It will provide a basis for a more rational urban planning.This paper takes Beijing as the research area and uses a new Luojia1-01 nighttime light image with high resolution,land use type data,Points of Interest(POI)data,and other data to construct the population spatial index system,establishing the index weight based on the principal component analysis.The comprehensive weight value of population distribution in the study area was then used to calculate the street population distribution of Beijing in 2018.Then the population spatial distribution was visualize using GIS technology.After accuracy assessments by comparing the result with the WorldPop data,the accuracy has reached 0.74.The proposed method was validated as a qualified method to generate population spatial maps.By contrast of local areas,Luojia 1-01 data is more suitable for population distribution estimation than the NPP/VIIRS(Net Primary Productivity/Visible infrared Imaging Radiometer)nighttime light data.More geospatial big data and mathematical models can be combined to create more accurate population maps in the future.展开更多
In this article, our research aims to set up a geo-decisional system, more precisely we are particularly interested in the spatial analysis system of agricultural production in Madagascar. For this, we used the spatia...In this article, our research aims to set up a geo-decisional system, more precisely we are particularly interested in the spatial analysis system of agricultural production in Madagascar. For this, we used the spatial data warehouse technique based on the SOLAP spatial analysis tool. After having defined the concepts underlying these systems, we propose to address the research issues related to them from four points of view: needs study of the Malagasy Ministry of Agriculture, modeling of a multidimensional conceptual model according to the MultiDim model and the implementation of the system studied using GeoKettle, PostGIS, GeoServer, SPAGO BI and Géomondrian technologies. This new system helps improve the decision-making process for agricultural production in Madagascar.展开更多
文摘鉴于数据提供者与数据需求者之间的矛盾是促使W ebG IS产生、发展的直接动力,为此围绕着在W eb环境下如何以3维空间可视化方式来实现地理空间数据共享与互操作的问题,以X3D/XML数据流作为不同结构的地理空间数据之间联系的桥梁,建立了一种新的组件式W ebG IS体系结构———Geo-SD SH IP(Geo-Spatial DataSharing and Hand ling Integrated P latform)。为了更好地阐述基于X3D/XML的组件式3维W ebG IS平台的有效性、可行性,首先对Geo-SD SH IP体系结构组成及其特点进行了深入的阐述,并给出了Geo-SD SH IP体系结构框架图;接着,详细介绍了基于X3D/XML的Geo-SD SH IP体系结构中各组件实现的关键技术,如W eb-3D虚拟地理场景的创建、用VC++.Net和ArcOb jects来构建X3D/XML数据转换组件和G IS空间分析组件,以及用VC++.Net结合OpenGL图形函数库来实现X3D/XML数据解析组件等;最后,举例说明了Geo-SD SH IP体系结构的数据转换服务请求/响应过程、数据需求服务请求/响应过程,并通过在国家自然基金项目和中国科学院知识创新工程重要方向性项目中的成功应用,证明了Geo-SD SH IP体系结构的有效性和可行性。
基金Under the auspices of Natural Science Foundation of China(No.42071342,31870713)Beijing Natural Science Foundation Program(No.8182038)Fundamental Research Funds for the Central Universities(No.2015ZCQ-LX-01,2018ZY06)。
文摘With the continuous development of urbanization in China,the country’s growing population brings great challenges to urban development.By mastering the refined population spatial distribution in administrative units,the quantity and agglomeration of population distribution can be estimated and visualized.It will provide a basis for a more rational urban planning.This paper takes Beijing as the research area and uses a new Luojia1-01 nighttime light image with high resolution,land use type data,Points of Interest(POI)data,and other data to construct the population spatial index system,establishing the index weight based on the principal component analysis.The comprehensive weight value of population distribution in the study area was then used to calculate the street population distribution of Beijing in 2018.Then the population spatial distribution was visualize using GIS technology.After accuracy assessments by comparing the result with the WorldPop data,the accuracy has reached 0.74.The proposed method was validated as a qualified method to generate population spatial maps.By contrast of local areas,Luojia 1-01 data is more suitable for population distribution estimation than the NPP/VIIRS(Net Primary Productivity/Visible infrared Imaging Radiometer)nighttime light data.More geospatial big data and mathematical models can be combined to create more accurate population maps in the future.
文摘In this article, our research aims to set up a geo-decisional system, more precisely we are particularly interested in the spatial analysis system of agricultural production in Madagascar. For this, we used the spatial data warehouse technique based on the SOLAP spatial analysis tool. After having defined the concepts underlying these systems, we propose to address the research issues related to them from four points of view: needs study of the Malagasy Ministry of Agriculture, modeling of a multidimensional conceptual model according to the MultiDim model and the implementation of the system studied using GeoKettle, PostGIS, GeoServer, SPAGO BI and Géomondrian technologies. This new system helps improve the decision-making process for agricultural production in Madagascar.
