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This paper analyses multidimensional inequalities in health care distribution for Henan Province in central China. The paper has two objectives: (1) examining the multi-scale health care inequality in Henan from two dimensions, urban-rural and core-periphery and (2) revealing the spatial effects of China's multiple transitions, provincial development strategies, and local economic development on health care distribution. The authors used geographic information systems-based spatial statistical methods to detect the spatial-temporal variation of health care distribution, and applied geographically weighted regression to reveal the effects of multiple transitions on the health care sector. The results illustrate that urban-rural and core-periphery gaps in Henan are still significant even though health care reforms and recent provincial policies have improved the access of rural and peripheral areas to health care. Health care inequality is sensitive to geographical scale and clustering, and spatial patterns of health care are shaped by the interwoven forces at national, provincial, and local scales.

This paper implements a cyber-platform which visualizes and analyzes spatial patterns of flooding with a user-oriented spatial intelligence. The paper is organized from three perspectives: first, why representation and modeling of flooding data set is vital; second, how the design of flooding analysis involves spatial intelligence; third, why flooding analysis should be integrated into Cyber-infrastructure. The flood is one of the most common and devastative disasters. Flood disasters bring huge damages to the affected communities and beyond. Hence, a fast and effective flood information inquiry system is critical to reduce the loss. REST-based Web Service illustrates its great advantages in web map re-rendering, attribute information retrieving, and advanced GIS functions. This research introduces how to use REST-based Web Service to build a user-friendly online flood information inquiry system.

This chapter implements a cyber-platform which visualizes and analyzes spatial patterns of flooding with a user-oriented spatial intelligence. The chapter is organized from three perspectives: first, why representation and modeling of flooding data set is vital; second, how the design of flooding analysis involves spatial intelligence; third, why flooding analysis should be integrated into Cyber-infrastructure. The flood is one of the most common and devastative disasters. Flood disasters bring huge damages to the affected communities and beyond. Hence, a fast and effective flood information inquiry system is critical to reduce the loss. REST-based Web Service illustrates its great advantages in web map re-rendering, attribute information retrieving, and advanced GIS functions. This research introduces how to use REST-based Web Service to build a user-friendly online flood information inquiry system.