Ecological compensation is becoming one of key and multidiscipline issues in the field of resources and environmental management. Considering the change relation between gross domestic product (GDP) and ecological cap...Ecological compensation is becoming one of key and multidiscipline issues in the field of resources and environmental management. Considering the change relation between gross domestic product (GDP) and ecological capital (EC) based on remote sensing estimation, we construct a new quantitative estimate model for ecological compensation, using county as study unit, and determine standard value so as to evaluate ecological compensation from 2001 to 2004 in Zhejiang Province, China. Spatial differences of the ecological compensation were significant among all the counties or districts. This model fills up the gap in the field of quantitative evaluation of regional ecological compensation and provides a feasible way to reconcile the conflicts among benefits in the economic, social, and ecological sectors.展开更多
Objective:This study investigates the geographical distribution of private hospitals in Australian capital cities in relation to the Index of Relative Socioeconomic Disadvantage.Methods:Using Geographic Information Sy...Objective:This study investigates the geographical distribution of private hospitals in Australian capital cities in relation to the Index of Relative Socioeconomic Disadvantage.Methods:Using Geographic Information System analysis,the study examined how private hospitals are distributed across different socioeconomic quartiles,providing a comprehensive visualisation of health care accessibility.Results:The results indicate an unequal distribution with a substantial concentration of private hospitals within the vicinity of communities classified in the highest socioeconomic classification.This raises significant concerns about health care equity,particularly in light of the increased strain on health care systems before,during and after the COVID‐19 pandemic.Conclusions:This study underscores the need for targeted policy interventions to enhance the resilience and accessibility of the private health care sector,specifically targeting disadvantaged communities.It suggests that comprehensive,geographically‐informed data is crucial for policymakers to make informed decisions that promote health equity in the postpandemic landscape.展开更多
Wheat stripe rust caused by Puccinia striiformis f.sp.tritici occurs widely in China and seriously affects wheat production.Global warming could profoundly impact the incidence and prevalence of lowtemperature disease...Wheat stripe rust caused by Puccinia striiformis f.sp.tritici occurs widely in China and seriously affects wheat production.Global warming could profoundly impact the incidence and prevalence of lowtemperature diseases such as stripe rust.Studies on the effects of temperature on the distribution of overwintering stripe rust could help us understand the incidence and prevalence of the disease and could also provide support for monitoring,forecasting and developing control strategies.An exponential model and a spherical model of the ordinary Kriging method in the ArcGIS platform were used to predict the overwintering regions of stripe rust based on the probability that the average temperature of the coldest month from December to February was higher than–6 or–7°C from 2001 to 2012.The results showed that the areas with a probability between 70%and 90%were transition regions for the overwintering of stripe rust.Based on annual mean temperature of the coldest month from December to February for 2001 to 2012,overwintering distribution of stripe rust was likewise evaluated.The boundary for overwintering of stripe rust was consistent with the areas where the probability was predicted to be 70%to 90%for the overwintering distribution of stripe rust,but the boundary was shifted northward toward Beijing in North China.Some areas in Xinjiang,including Akto,Pishan,Hotan and Yutian,were also predicted to be suitable for the overwintering of stripe rust.展开更多
The highly efficient and stable collaborative computation platform for geospatial information can be constructed on the basis of Grid computing technology,com-bined with Peer-to-Peer(P2P)computing technology and geosp...The highly efficient and stable collaborative computation platform for geospatial information can be constructed on the basis of Grid computing technology,com-bined with Peer-to-Peer(P2P)computing technology and geospatial database technology.This paper proposed the architecture and key technologies of the Grid GIS(Geographic Information System)incorporated with P2P structure,and corre-spondingly a Grid GIS prototype named Nebula was designed and then imple-mented.Nebula is a suite of middleware for geospatial Grid computing,which could be deployed onto various service nodes in network.Based on Grid protocols and infrastructure,Nebula provides invocation interfaces to users in form of Grid services.By using P2P message based communication mechanism,complex geospatial computation tasks could be accomplished by Nebula in a collaborative way.This paper introduced Nebula's architecture and key modules,and according to experimental data,we discussed the Grid GIS's advantages,application scenar-ios and future directions.展开更多
基金Project (No. 2006AA120101) supported by the Hi-Tech Research and Development Program (863) of China
文摘Ecological compensation is becoming one of key and multidiscipline issues in the field of resources and environmental management. Considering the change relation between gross domestic product (GDP) and ecological capital (EC) based on remote sensing estimation, we construct a new quantitative estimate model for ecological compensation, using county as study unit, and determine standard value so as to evaluate ecological compensation from 2001 to 2004 in Zhejiang Province, China. Spatial differences of the ecological compensation were significant among all the counties or districts. This model fills up the gap in the field of quantitative evaluation of regional ecological compensation and provides a feasible way to reconcile the conflicts among benefits in the economic, social, and ecological sectors.
文摘Objective:This study investigates the geographical distribution of private hospitals in Australian capital cities in relation to the Index of Relative Socioeconomic Disadvantage.Methods:Using Geographic Information System analysis,the study examined how private hospitals are distributed across different socioeconomic quartiles,providing a comprehensive visualisation of health care accessibility.Results:The results indicate an unequal distribution with a substantial concentration of private hospitals within the vicinity of communities classified in the highest socioeconomic classification.This raises significant concerns about health care equity,particularly in light of the increased strain on health care systems before,during and after the COVID‐19 pandemic.Conclusions:This study underscores the need for targeted policy interventions to enhance the resilience and accessibility of the private health care sector,specifically targeting disadvantaged communities.It suggests that comprehensive,geographically‐informed data is crucial for policymakers to make informed decisions that promote health equity in the postpandemic landscape.
基金This study was supported by the National Natural Science Foundation of China(31101393)the National Key Technologies Research and Development Program(2012BAD19BA04).
文摘Wheat stripe rust caused by Puccinia striiformis f.sp.tritici occurs widely in China and seriously affects wheat production.Global warming could profoundly impact the incidence and prevalence of lowtemperature diseases such as stripe rust.Studies on the effects of temperature on the distribution of overwintering stripe rust could help us understand the incidence and prevalence of the disease and could also provide support for monitoring,forecasting and developing control strategies.An exponential model and a spherical model of the ordinary Kriging method in the ArcGIS platform were used to predict the overwintering regions of stripe rust based on the probability that the average temperature of the coldest month from December to February was higher than–6 or–7°C from 2001 to 2012.The results showed that the areas with a probability between 70%and 90%were transition regions for the overwintering of stripe rust.Based on annual mean temperature of the coldest month from December to February for 2001 to 2012,overwintering distribution of stripe rust was likewise evaluated.The boundary for overwintering of stripe rust was consistent with the areas where the probability was predicted to be 70%to 90%for the overwintering distribution of stripe rust,but the boundary was shifted northward toward Beijing in North China.Some areas in Xinjiang,including Akto,Pishan,Hotan and Yutian,were also predicted to be suitable for the overwintering of stripe rust.
基金National Natural Science Foundation of China(Grant No.40501052)the National Hi-Tech Research and Development Program of China(Grant No.2006AA12Z201)
文摘The highly efficient and stable collaborative computation platform for geospatial information can be constructed on the basis of Grid computing technology,com-bined with Peer-to-Peer(P2P)computing technology and geospatial database technology.This paper proposed the architecture and key technologies of the Grid GIS(Geographic Information System)incorporated with P2P structure,and corre-spondingly a Grid GIS prototype named Nebula was designed and then imple-mented.Nebula is a suite of middleware for geospatial Grid computing,which could be deployed onto various service nodes in network.Based on Grid protocols and infrastructure,Nebula provides invocation interfaces to users in form of Grid services.By using P2P message based communication mechanism,complex geospatial computation tasks could be accomplished by Nebula in a collaborative way.This paper introduced Nebula's architecture and key modules,and according to experimental data,we discussed the Grid GIS's advantages,application scenar-ios and future directions.
