Shuming Bao
Datos Biográficos
| ID | 4251877 |
|---|---|
| NOMBRE | Shuming Bao |
| NOMBRES | Shuming |
| APELLIDO | Bao |
| FIRMA | BAO S |
| AFILIACIONES | China Data Institute, Ann Arbor, MI 48108, USA |
| ORCID | 0000-0002-2851-2054 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 13 |
| TOTAL DE CITAS | 123 |
| TOTAL COMO AUTOR | 13 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1995 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 3 |
Advancing replicable and reproducible GIScience
Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0
Open-ource GIS plays a pivotal role in advancing GIS education, fostering research collaboration, and supporting global sustainability by enabling the sharing of data, models, and knowledge. However, the integration of big data, deep learning methods, and artificial intelligence deep learning in geospatial research presents significant challenges for GIS education. These include increasing software learning costs, higher computational power deman…
Government-led regional integration and economic growth
Urban governance and sustainable development
The Evolution of the Spatial Distribution Pattern of Mosques in the Kashgar Region from 1955 to 2004
The spatial differences in the distribution of mosques reflect to a certain extent the diversity of the interaction between natural and human elements and Islamic beliefs in different geographic spaces. The Kashgar region of Xinjiang is one of the most developed regions of Islamic culture in China, its dominant religion is Islam, and the survival of Islamic culture in the region has a long history. The development of Islam in the region, after th…
Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility
Understanding the space-time dynamics of human activities is essential in studying human security issues such as climate change impacts, pandemic spreading, or urban sustainability. Geotagged social media posts provide an open and space-time continuous data source with user locations which is convenient for studying human movement. However, the reliability of Chinese geotagged social media data for representing human mobility remains unclear. Thi…
Measurement of contagion spatial spread probability in public places
The Spatiotemporal Interaction Effect of Covid-19 Transmission in the United States
(1) Background: Human mobility between geographic units is an important way in which COVID-19 is spread across regions. Due to the pressure of epidemic control and economic recovery, states in the United States have adopted different policies for mobility limitations. Assessing the impact of these policies on the spatiotemporal interaction of COVID-19 transmission among counties in each state is critical to formulating epidemic policies. (2) Meth…
Estimating Unreported Covid-19 Cases with a Time-Varying SIR Regression Model
Despite the declining trend in TR and IFR, the UIR of COVID-19 in the United States is still on the rise, which, it was assumed would decrease with sufficient tests or improved countersues. The US medical system might be largely affected by severe cases amidst a rapid spread of COVID-19
Racial Segregation, Testing Site Access, and Covid-19 Incidence Rate in Massachusetts, USA
The U.S. has merely 4% of the world population, but contains 25% of the world's COVID-19 cases. Since the COVID-19 outbreak in the U.S., Massachusetts has been leading other states in the total number of COVID-19 cases. Racial residential segregation is a fundamental cause of racial disparities in health. Moreover, disparities of access to health care have a large impact on COVID-19 cases. Thus, this study estimates racial segregation and dispari…
Agglomeration and location choice of foreign financial institutions in China
Neighborhood Racial Composition, Neighborhood Poverty, and the Spatial Accessibility of Supermarkets in Metropolitan Detroit
Objectives. We evaluated the spatial accessibility of large “chain” supermarkets in relation to neighborhood racial composition and poverty. Methods. We used a geographic information system to measure Manhattan block distance to the nearest supermarket for 869 neighborhoods (census tracts) in metropolitan Detroit. We constructed moving average spatial regression models to adjust for spatial autocorrelation and to test for the effect of modificati…
How Functional Are Economic Areas? Tests for Intra‐regional Spatial Association Using Spatial Data Analysis
Neighborhood Racial Composition, Neighborhood Poverty, and the Spatial Accessibility of Supermarkets in Metropolitan Detroit
Objectives. We evaluated the spatial accessibility of large “chain” supermarkets in relation to neighborhood racial composition and poverty. Methods. We used a geographic information system to measure Manhattan block distance to the nearest supermarket for 869 neighborhoods (census tracts) in metropolitan Detroit. We constructed moving average spatial regression models to adjust for spatial autocorrelation and to test for the effect of modificati…
Government-led regional integration and economic growth
How Functional Are Economic Areas? Tests for Intra‐regional Spatial Association Using Spatial Data Analysis
Agglomeration and location choice of foreign financial institutions in China
Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0
Open-ource GIS plays a pivotal role in advancing GIS education, fostering research collaboration, and supporting global sustainability by enabling the sharing of data, models, and knowledge. However, the integration of big data, deep learning methods, and artificial intelligence deep learning in geospatial research presents significant challenges for GIS education. These include increasing software learning costs, higher computational power deman…
The Evolution of the Spatial Distribution Pattern of Mosques in the Kashgar Region from 1955 to 2004
The spatial differences in the distribution of mosques reflect to a certain extent the diversity of the interaction between natural and human elements and Islamic beliefs in different geographic spaces. The Kashgar region of Xinjiang is one of the most developed regions of Islamic culture in China, its dominant religion is Islam, and the survival of Islamic culture in the region has a long history. The development of Islam in the region, after th…
How Functional Are Economic Areas? Tests for Intra‐regional Spatial Association Using Spatial Data Analysis
Neighborhood Racial Composition, Neighborhood Poverty, and the Spatial Accessibility of Supermarkets in Metropolitan Detroit
Objectives. We evaluated the spatial accessibility of large “chain” supermarkets in relation to neighborhood racial composition and poverty. Methods. We used a geographic information system to measure Manhattan block distance to the nearest supermarket for 869 neighborhoods (census tracts) in metropolitan Detroit. We constructed moving average spatial regression models to adjust for spatial autocorrelation and to test for the effect of modificati…
Agglomeration and location choice of foreign financial institutions in China
Racial Segregation, Testing Site Access, and Covid-19 Incidence Rate in Massachusetts, USA
The U.S. has merely 4% of the world population, but contains 25% of the world's COVID-19 cases. Since the COVID-19 outbreak in the U.S., Massachusetts has been leading other states in the total number of COVID-19 cases. Racial residential segregation is a fundamental cause of racial disparities in health. Moreover, disparities of access to health care have a large impact on COVID-19 cases. Thus, this study estimates racial segregation and dispari…
The Spatiotemporal Interaction Effect of Covid-19 Transmission in the United States
(1) Background: Human mobility between geographic units is an important way in which COVID-19 is spread across regions. Due to the pressure of epidemic control and economic recovery, states in the United States have adopted different policies for mobility limitations. Assessing the impact of these policies on the spatiotemporal interaction of COVID-19 transmission among counties in each state is critical to formulating epidemic policies. (2) Meth…
Estimating Unreported Covid-19 Cases with a Time-Varying SIR Regression Model
Despite the declining trend in TR and IFR, the UIR of COVID-19 in the United States is still on the rise, which, it was assumed would decrease with sufficient tests or improved countersues. The US medical system might be largely affected by severe cases amidst a rapid spread of COVID-19
Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility
Understanding the space-time dynamics of human activities is essential in studying human security issues such as climate change impacts, pandemic spreading, or urban sustainability. Geotagged social media posts provide an open and space-time continuous data source with user locations which is convenient for studying human movement. However, the reliability of Chinese geotagged social media data for representing human mobility remains unclear. Thi…
Measurement of contagion spatial spread probability in public places
Urban governance and sustainable development
The Evolution of the Spatial Distribution Pattern of Mosques in the Kashgar Region from 1955 to 2004
The spatial differences in the distribution of mosques reflect to a certain extent the diversity of the interaction between natural and human elements and Islamic beliefs in different geographic spaces. The Kashgar region of Xinjiang is one of the most developed regions of Islamic culture in China, its dominant religion is Islam, and the survival of Islamic culture in the region has a long history. The development of Islam in the region, after th…
Government-led regional integration and economic growth
Advancing replicable and reproducible GIScience
Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0
Open-ource GIS plays a pivotal role in advancing GIS education, fostering research collaboration, and supporting global sustainability by enabling the sharing of data, models, and knowledge. However, the integration of big data, deep learning methods, and artificial intelligence deep learning in geospatial research presents significant challenges for GIS education. These include increasing software learning costs, higher computational power deman…
Geography (10 obras) · China (5 obras) · Computer Science (5 obras) · Economics (5 obras) · COVID-19 epidemiological studies (4 obras) · Demography (4 obras) · Economic growth (4 obras) · Sociology (4 obras) · Statistics (4 obras) · Cartography (3 obras)