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Developing and implementing dynamic geographic visualisation (GVIS) and exploratory spatial data analysis (ESDA) software tools for regional studies : a case study of People's Republic of China
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Type
Thesis
Author
Ren, Jin Song
Supervisor
Kam, Tin Seong
Abstract
This thesis presents the development and implementation of a prototype Regional Information Visualization and Analysis Machine (RIVAM). It aims to meet the planners' information mapping, analyzing, visualizing , and modelling requirements. To facilitate the development of RIVAM into an appropriate planning support tool, two state-of-the-arts geographical data exploration and analysis methods have been devised and incorporated into the system. The first is Geographic Visualization (GVis) method that incorporates dynamical link graphics or/and maps and interactive exploration techniques to foster visual thinking in regional studies. The second method includes a family of local spatial statistical techniques for exploratory modelling of spatial patterns of regional development.
To evaluate the true value of RIVAM for regional studies, two applications have been conducted using China as a case study. The first case study examines the spatio-temporal patterns of economic development of China at the provincial level using RIVAM approach. Our findings indicate that conventional triangular graphic and location quotient techniques commonly employed in regional studies have been improved significantly be incorporating the dynamic and interactive functions of RIVAM.
In the second case study, the local spatial statistics and localized regression modules of RIVAM are employed to explore and model the spatial pattern of development in Fujian Province. The results have successfully revealed the salient features of regional economic growth patterns of Fujian Province which could not be identified using conventional statistical methods.
To evaluate the true value of RIVAM for regional studies, two applications have been conducted using China as a case study. The first case study examines the spatio-temporal patterns of economic development of China at the provincial level using RIVAM approach. Our findings indicate that conventional triangular graphic and location quotient techniques commonly employed in regional studies have been improved significantly be incorporating the dynamic and interactive functions of RIVAM.
In the second case study, the local spatial statistics and localized regression modules of RIVAM are employed to explore and model the spatial pattern of development in Fujian Province. The results have successfully revealed the salient features of regional economic growth patterns of Fujian Province which could not be identified using conventional statistical methods.
Date Issued
2001
Call Number
G70.2 Ren
Date Submitted
2001