[目的]为全面分析我国中医类医院资源时空分布与差异性,对2009-2021年我国中医类医院卫生资源区域差异性和配置公平性展开研究,探讨我国中医类医院资源配置现状,为政策制定提供参考。[方法]采用卫生资源集聚度和空间自相关分析我国31个...[目的]为全面分析我国中医类医院资源时空分布与差异性,对2009-2021年我国中医类医院卫生资源区域差异性和配置公平性展开研究,探讨我国中医类医院资源配置现状,为政策制定提供参考。[方法]采用卫生资源集聚度和空间自相关分析我国31个省(自治区、直辖市)中医类医院卫生资源配置的公平程度。[结果]2009-2021年,我国中医类医院卫生资源东西部区域差异性显著,东部地区按地理面积配置的集聚度高,西部地区按人口分布配置的集聚度高;空间分布呈聚集特征,全局Moran s I指数总体呈下降趋势;物力资源和人力资源的局部Moran s I指数分布存在较明显的空间差异。[结论]我国中医类医院卫生资源空间集聚度逐渐减弱,但东西部地区差异仍较明显,西部地区人力资源相对匮乏。展开更多
On the basis of spatial-temporal perspective,by using the data of farmers' net income per capita from 1996 to 2007 in counties of Guangxi coupled with the global and local spatial auto-correlation analysis of ESDA...On the basis of spatial-temporal perspective,by using the data of farmers' net income per capita from 1996 to 2007 in counties of Guangxi coupled with the global and local spatial auto-correlation analysis of ESDA and GIS technology,we conduct the empirical research on the rural economic developmental disparity of counties in Guangxi and the evolving characteristics of local spatial heterogeneity.The results show that the rural economic developmental disparity of counties in Guangxi from 1996 to 2007 varies infinitesimally on the whole,and the regions with similar rural economic developmental level have spatial concentrated distribution.Based on these,the local MORAN'S I scatter diagram and LISA concentration diagram are drawn.In comparison with the traditional analytical method,the spatial analytical method of ESDA-GIS can explain the problem of spatial heterogeneity of rural economic development clearly,and have direct visual effect.展开更多
With the deployment of modern infrastructure for public transportation, several studies have analyzed movement patterns of people using smart card data and have characterized different areas. In this paper, we propose...With the deployment of modern infrastructure for public transportation, several studies have analyzed movement patterns of people using smart card data and have characterized different areas. In this paper, we propose the “movement purpose hypothesis” that each movement occurs from two causes: where the person is and what the person wants to do at a given moment. We formulate this hypothesis to a synthesis model in which two network graphs generate a movement network graph. Then we develop two novel-embedding models to assess the hypothesis, and demonstrate that the models obtain a vector representation of a geospatial area using movement patterns of people from large-scale smart card data. We conducted an experiment using smart card data for a large network of railroads in the Kansai region of Japan. We obtained a vector representation of each railroad station and each purpose using the developed embedding models. Results show that network embedding methods are suitable for a large-scale movement of data, and the developed models perform better than existing embedding methods in the task of multi-label classification for train stations on the purpose of use data set. Our proposed models can contribute to the prediction of people flows by discovering underlying representations of geospatial areas from mobility data.展开更多
With the introduction of powerful and high-speed personal computers, proficient techniques for infrastructure development and management have advanced, of which Geoinformatics technology is of great significance. An a...With the introduction of powerful and high-speed personal computers, proficient techniques for infrastructure development and management have advanced, of which Geoinformatics technology is of great significance. An attempt has been made for broad mapping and analysis of existing infrastructures in the context of planning scheme in Paschim Medinipur district, and to delineate the development zones of educational infrastructure facilities. The thematic layers considered in this study are infrastructure accessibility, type and condition of classroom and number of classroom allocated for the educational system at primary and upper primary level. Moran’s I statistics was used to estimate the spatial distribution of elementary infrastructure across the district. All these themes and their individual features were then assigned weights according to their relative importance in educational development and corresponding normalized weights were obtained based on the Saaty’s analytical hierarchy process. The thematic layers were finally integrated in GIS software based on multi-criteria approach to yield educational development infrastructure index. Moran’s I statistics shows girl’s toilet, electric and boundary wall facility within the district are clustered in pattern at primary level. At the upper primary level, only electric and computer facilities shows the clustered distribution across the district. However, four different zones have been delineated, namely ‘very good’, ‘good’, ‘moderate’ and ‘poor’. The block covered by very good elementary educational infrastructure facility is Daspur –I and Dantan –II at primary level and Keshiary block at upper primary level in Paschim Medinipur district. Finally, it is concluded that the Geoinformatics technology is very efficient and useful for the identification of infrastructure development.展开更多
文摘[目的]为全面分析我国中医类医院资源时空分布与差异性,对2009-2021年我国中医类医院卫生资源区域差异性和配置公平性展开研究,探讨我国中医类医院资源配置现状,为政策制定提供参考。[方法]采用卫生资源集聚度和空间自相关分析我国31个省(自治区、直辖市)中医类医院卫生资源配置的公平程度。[结果]2009-2021年,我国中医类医院卫生资源东西部区域差异性显著,东部地区按地理面积配置的集聚度高,西部地区按人口分布配置的集聚度高;空间分布呈聚集特征,全局Moran s I指数总体呈下降趋势;物力资源和人力资源的局部Moran s I指数分布存在较明显的空间差异。[结论]我国中医类医院卫生资源空间集聚度逐渐减弱,但东西部地区差异仍较明显,西部地区人力资源相对匮乏。
文摘On the basis of spatial-temporal perspective,by using the data of farmers' net income per capita from 1996 to 2007 in counties of Guangxi coupled with the global and local spatial auto-correlation analysis of ESDA and GIS technology,we conduct the empirical research on the rural economic developmental disparity of counties in Guangxi and the evolving characteristics of local spatial heterogeneity.The results show that the rural economic developmental disparity of counties in Guangxi from 1996 to 2007 varies infinitesimally on the whole,and the regions with similar rural economic developmental level have spatial concentrated distribution.Based on these,the local MORAN'S I scatter diagram and LISA concentration diagram are drawn.In comparison with the traditional analytical method,the spatial analytical method of ESDA-GIS can explain the problem of spatial heterogeneity of rural economic development clearly,and have direct visual effect.
文摘With the deployment of modern infrastructure for public transportation, several studies have analyzed movement patterns of people using smart card data and have characterized different areas. In this paper, we propose the “movement purpose hypothesis” that each movement occurs from two causes: where the person is and what the person wants to do at a given moment. We formulate this hypothesis to a synthesis model in which two network graphs generate a movement network graph. Then we develop two novel-embedding models to assess the hypothesis, and demonstrate that the models obtain a vector representation of a geospatial area using movement patterns of people from large-scale smart card data. We conducted an experiment using smart card data for a large network of railroads in the Kansai region of Japan. We obtained a vector representation of each railroad station and each purpose using the developed embedding models. Results show that network embedding methods are suitable for a large-scale movement of data, and the developed models perform better than existing embedding methods in the task of multi-label classification for train stations on the purpose of use data set. Our proposed models can contribute to the prediction of people flows by discovering underlying representations of geospatial areas from mobility data.
文摘With the introduction of powerful and high-speed personal computers, proficient techniques for infrastructure development and management have advanced, of which Geoinformatics technology is of great significance. An attempt has been made for broad mapping and analysis of existing infrastructures in the context of planning scheme in Paschim Medinipur district, and to delineate the development zones of educational infrastructure facilities. The thematic layers considered in this study are infrastructure accessibility, type and condition of classroom and number of classroom allocated for the educational system at primary and upper primary level. Moran’s I statistics was used to estimate the spatial distribution of elementary infrastructure across the district. All these themes and their individual features were then assigned weights according to their relative importance in educational development and corresponding normalized weights were obtained based on the Saaty’s analytical hierarchy process. The thematic layers were finally integrated in GIS software based on multi-criteria approach to yield educational development infrastructure index. Moran’s I statistics shows girl’s toilet, electric and boundary wall facility within the district are clustered in pattern at primary level. At the upper primary level, only electric and computer facilities shows the clustered distribution across the district. However, four different zones have been delineated, namely ‘very good’, ‘good’, ‘moderate’ and ‘poor’. The block covered by very good elementary educational infrastructure facility is Daspur –I and Dantan –II at primary level and Keshiary block at upper primary level in Paschim Medinipur district. Finally, it is concluded that the Geoinformatics technology is very efficient and useful for the identification of infrastructure development.
