Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval,high scalability and availability,...Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval,high scalability and availability,efficient storage and management.In this study,Hadoop distributed computing framework,including Hadoop distributed file system and MapReduce(mapper and reducer),is firstly designed with a parallel computing framework to process massive spatial data.Then,access control with a series of standard application programming interfaces for different functions is designed,including spatial data storage layer,cloud geodatabase access layer,spatial data access layer and spatial data analysis layer.Subsequently,a retrieval model is designed,including direct addressing via file name,three-level concurrent retrieval and block data retrieval strategies.Main functions are realised,including real-time concurrent access,high-performance computing,communication,massive data storage,efficient retrieval and scheduling decisions on the multi-scale,multi-source and massive spatial data.Finally,the performance of Hadoop cloud geodatabases is validated and compared with that of the Oracle database.The cloud geodatabase for the sponge city can avoid redundant configuration of personnel,hardware and software,support the data transfer,model debugging and application development,and provide accurate,real-time,virtual,intelligent,reliable,elastically scalable,dynamic and on-demand cloud services of the basic and thematic geographic information for the construction and management of the sponge city.展开更多
The article studies tourism eco-environment of 14 cities of Gangsu Province, China, based on GIS with many kinds of multi-subject spatial database, such as remote sensing data, observation data and literature data. Th...The article studies tourism eco-environment of 14 cities of Gangsu Province, China, based on GIS with many kinds of multi-subject spatial database, such as remote sensing data, observation data and literature data. The research results were as follows. First, spatial features of 14 cities' tourism eco-environment are displayed with five levels of vulnerability respectively. The vulnerability in Gansu becomes worse from Gannan City, located in southern Gansu to Hexi Corridor which lies in northwestern Gansu. Second, the areas of above the middle vulnerability level make up 75% of the total areas of Gansu Province. Third, more than 70% of high-level human and natural tourism resources are in the areas with high vulnerability eco-environment. Fourth, it is crucial to develop comprehensive tourism industry in order to improve the harmonious development between tourism industry and eco-environment in Gansu Province.展开更多
Nowadays, cities are the main living environment of human beings. Rapid urbanization is associated with a variety of issues： population explosion, urban heat island effect, greenhouse gases emissions, energy crisis, ...Nowadays, cities are the main living environment of human beings. Rapid urbanization is associated with a variety of issues： population explosion, urban heat island effect, greenhouse gases emissions, energy crisis, climate change and so on. To deal with the challenges from the huge energy consumption and GHGs （greenhouse gases） emission, more and more attention has been paid to low carbon eco-city in China. In this research, the whole process is linked by low carbon eco-city development. High-resolution thermal IR （infrared） satellite remote-sensing is introduced to land use and urban heat island monitoring to meet the requirement of higher accuracy. GIS （geo-information science） technology provides a framework for collecting, processing, managing, analyzing and sharing spatial and temporal data. It has been used in spatial and temporal database management and analysis in low carbon eco-city study. The integrated geo-information system proposed in this research, which will be introduced to various government agencies in China, could enrich the concepts and means for the construction of low carbon eco^city.展开更多
基金Project(NZ1628)supported by the Natural Science Foundation of Ningxia,China
文摘Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval,high scalability and availability,efficient storage and management.In this study,Hadoop distributed computing framework,including Hadoop distributed file system and MapReduce(mapper and reducer),is firstly designed with a parallel computing framework to process massive spatial data.Then,access control with a series of standard application programming interfaces for different functions is designed,including spatial data storage layer,cloud geodatabase access layer,spatial data access layer and spatial data analysis layer.Subsequently,a retrieval model is designed,including direct addressing via file name,three-level concurrent retrieval and block data retrieval strategies.Main functions are realised,including real-time concurrent access,high-performance computing,communication,massive data storage,efficient retrieval and scheduling decisions on the multi-scale,multi-source and massive spatial data.Finally,the performance of Hadoop cloud geodatabases is validated and compared with that of the Oracle database.The cloud geodatabase for the sponge city can avoid redundant configuration of personnel,hardware and software,support the data transfer,model debugging and application development,and provide accurate,real-time,virtual,intelligent,reliable,elastically scalable,dynamic and on-demand cloud services of the basic and thematic geographic information for the construction and management of the sponge city.
基金supported by National Natural Science Foundation of China (Grant No.40671062) the Third Knowledge Innovation Project of ‘Study on the Regional Eco-economic Development Theory and Patterns',supported by Institute of Geo-graphical Sciences and Natural Resources Research,CAS
文摘The article studies tourism eco-environment of 14 cities of Gangsu Province, China, based on GIS with many kinds of multi-subject spatial database, such as remote sensing data, observation data and literature data. The research results were as follows. First, spatial features of 14 cities' tourism eco-environment are displayed with five levels of vulnerability respectively. The vulnerability in Gansu becomes worse from Gannan City, located in southern Gansu to Hexi Corridor which lies in northwestern Gansu. Second, the areas of above the middle vulnerability level make up 75% of the total areas of Gansu Province. Third, more than 70% of high-level human and natural tourism resources are in the areas with high vulnerability eco-environment. Fourth, it is crucial to develop comprehensive tourism industry in order to improve the harmonious development between tourism industry and eco-environment in Gansu Province.
文摘Nowadays, cities are the main living environment of human beings. Rapid urbanization is associated with a variety of issues： population explosion, urban heat island effect, greenhouse gases emissions, energy crisis, climate change and so on. To deal with the challenges from the huge energy consumption and GHGs （greenhouse gases） emission, more and more attention has been paid to low carbon eco-city in China. In this research, the whole process is linked by low carbon eco-city development. High-resolution thermal IR （infrared） satellite remote-sensing is introduced to land use and urban heat island monitoring to meet the requirement of higher accuracy. GIS （geo-information science） technology provides a framework for collecting, processing, managing, analyzing and sharing spatial and temporal data. It has been used in spatial and temporal database management and analysis in low carbon eco-city study. The integrated geo-information system proposed in this research, which will be introduced to various government agencies in China, could enrich the concepts and means for the construction of low carbon eco^city.
