Changxiu Cheng
Datos Biográficos
| ID | 3718982 |
|---|---|
| NOMBRE | Changxiu Cheng |
| NOMBRES | Changxiu |
| APELLIDO | Cheng |
| FIRMA | CHENG C |
| AFILIACIONES | Beijing Normal University |
| ORCID | 0000-0003-2988-8915 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 24 |
| TOTAL DE CITAS | 21 |
| OBRAS COMO AUTOR | 24 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 2 |
Economic resilience of regions within the global supply network in the aftermath of disaster
Exploring the impact of streetscapes on waterlogging risk from a 15-minute walkability perspective
Coupled impact of climate change and human activities on farmland loss on the Tibetan Plateau
Prefecture-level health risk assessment for hot extremes in China
Evaluating prefecture-level health risks for hot extremes is the core of localized adaptation measures to mitigate negative heat-related impacts. Here, by applying the heat hazard-human exposure-social vulnerability framework, we assessed the prefecture-level health risk for summertime hot extremes in China, with multisource data from 329 prefecture units. Regions suffering very high and high levels of health risk were observed in several main ba…
The effect of day-to-day temperature variability on agricultural productivity
With rising extreme weather events due to climate change, the impact on agricultural production has become increasingly severe. Yet, there has been a significant gap in research that assesses the influence of day-to-day temperature variability on agricultural productivity on a global scale. Our study addresses this gap by exploring the effects of day-to-day temperature variability and the change of rainfall patterns on agricultural productivity w…
Global online social response to a natural disaster and its influencing factors
The global public interest in a natural disaster event will help disaster-stricken areas obtain post-disaster international relief and assistance. However, knowledge gaps still exist in regard to global online social responses and their socioeconomic influencing factors. We used big social media data regarding the 2013 Super Typhoon Haiyan to explore global online social responses and to investigate the socioeconomic factors influencing this beha…
After the pandemic
The COVID-19 lockdowns have transitioned to a new normal and triggered commodity supply disruption and trade uncertainty, yet little is known about the seafood trade resilience of developing and developed countries amid pandemic-related shocks. Here, employing a newly developed geographical transition-net model, we simulate a set of idealized lockdown scenarios in a real-world seafood network. The results show that (1) even if restrictions from r…
Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China
Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender …
Associations between Different Ozone Indicators and Cardiovascular Hospital Admission
Epidemiological studies reported that ozone (O 3 ) is associated with cardiovascular diseases. However, only few of these studies examined the impact of multiple O 3 indicators on cardiovascular hospital admissions. This study aimed to explore and compare the impacts of different O 3 indicators on cardiovascular hospital admissions in Guangzhou, China. Based upon the data on daily cardiovascular hospital admissions, air pollution, and meteorologi…
Modelling and evaluating the economy-resource-ecological environment system of a third-polar city using system dynamics and ranked weights-based coupling coordination degree model
Geographic Complexity
Geography is a fundamentally important discipline that provides a framework for understanding the complex surface of our Earth [...]
Postearthquake situational awareness based on mobile phone signaling data
Temporal and Spatial Heterogeneity of PM2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018
In recent years, air pollution caused by PM 2.5 in China has become increasingly severe. This study applied a Bayesian space-time hierarchy model to reveal the spatiotemporal heterogeneity of the PM 2.5 concentrations in China. In addition, the relationship between meteorological and socioeconomic factors and their interaction with PM 2.5 during 2000-2018 was investigated based on the GeoDetector model. Results suggested that the concentration of…
Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China
The evaluation of the arable land ecosystem services capacity and arable land use intensity is important for recognizing regional key factors that impact the change of arable land attributes. A chronic lack of cooperation persists between these two fields of study, which makes providing sufficient information to support developing arable land use management and control policies difficult. In this study, the clustering characteristics of four arab…
Spatiotemporal Evolution of the Online Social Network after a Natural Disaster
Social media has been a vital channel for communicating and broadcasting disaster-related information. However, the global spatiotemporal patterns of social media users’ activities, interactions, and connections after a natural disaster remain unclear. Hence, we integrated geocoding, geovisualization, and complex network methods to illustrate and analyze the online social network’s spatiotemporal evolution. Taking the super typhoon Haiyan as a ca…
A soil sampling design for arable land quality observation by using SPCOSA–CLHS hybrid approach
Arable land quality has been evaluated through weighted average of indicators related to soil properties and tillage technics to present the most basic function of cropland: food production potential. A hybrid sampling method spatial coverage sampling and random sampling–conditioned Latin hypercube sampling (SPCOSA–CLHS) was designed for arable land quality observation network in this paper. The SPCOSA–CLHS integrates the uniform spatial partitio…
Determinant Powers of Socioeconomic Factors and Their Interactive Impacts on Particulate Matter Pollution in North China
Severe air pollution has significantly impacted climate and human health worldwide. In this study, global and local Moran's I was used to examine the spatial autocorrelation of PM 2.5 pollution in North China from 2000-2017, using data obtained from Atmospheric Composition Analysis Group of Dalhousie University. The determinant powers and their interactive effects of socioeconomic factors on this pollutant are then quantified using a non-linear m…
Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors
These results contribute to the development of more specific policies aimed at safety and successful property protection according to the regional differences during typhoons
Visualizing bivariate local spatial autocorrelation between commodity revealed comparative advantage index of China and USA from a new space perspective
The development of trade research plays an important role in enhancing the understanding of the trade relationship structure, evolution and relevant driving factors. While there is little research on analyzing and visualizing bilateral trade patterns and the evolution of numerous kinds of commodities. In this paper, we respectively calculate revealed comparative advantage index (RCAI) of each traded commodity of China and USA in 2017. Then the RC…
Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan
The public’s attitudes, emotions, and opinions reflect the state of society to a certain extent. Understanding the state and trends of public sentiment and effectively guiding the direction of sentiment are essential for maintaining social stability during disasters. Social media data have become the most effective resource for studying public sentiment. The TextBlob tool is used to calculate the sentiment value of tweets, and this research analy…
Multifractal Characteristics of Seismogenic Systems and b Values in the Taiwan Seismic Region
Seismically active fault zones are complex natural systems and they exhibit multifractal correlation between earthquakes in space and time. In this paper, the seismicity of the Taiwan seismic region was studied through the multifractal characteristics of the spatial-temporal distribution of earthquakes from 1st January 1995 to 1st January 2019. We quantified the multifractal characteristics of Taiwan at different scales and defined them as ΔD val…
Digital Trade Feature Map
Product bilateral trade features can be organized and expressed in the Cartesian coordinate system by taking imports and exports as X and Y, which is similar to spatial visualization. Hence, geospatial expression and analysis methodologies can be applied in bilateral trade studies. In this paper, we propose a new digital trade feature map (DTFM) method for the visualization of bilateral trade features from a spatial perspective. The implementatio…
Spatial pattern of arable land-use intensity in China
Indexing
Indexing is an important method to improve searching performance. Conventional index types do not handle spatial queries efficiently. Therefore, spatial indexing is designed specifically to enhance spatial search algorithms. Common spatial index methods include grid, quad‐tree, and R‐tree. These methods divide data space into several partitions and record the relations between partitions and minimum bounding rectangles ( MBR ) of spatial objects.…
Spatial pattern of arable land-use intensity in China
Modelling and evaluating the economy-resource-ecological environment system of a third-polar city using system dynamics and ranked weights-based coupling coordination degree model
Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China
The evaluation of the arable land ecosystem services capacity and arable land use intensity is important for recognizing regional key factors that impact the change of arable land attributes. A chronic lack of cooperation persists between these two fields of study, which makes providing sufficient information to support developing arable land use management and control policies difficult. In this study, the clustering characteristics of four arab…
Visualizing bivariate local spatial autocorrelation between commodity revealed comparative advantage index of China and USA from a new space perspective
The development of trade research plays an important role in enhancing the understanding of the trade relationship structure, evolution and relevant driving factors. While there is little research on analyzing and visualizing bilateral trade patterns and the evolution of numerous kinds of commodities. In this paper, we respectively calculate revealed comparative advantage index (RCAI) of each traded commodity of China and USA in 2017. Then the RC…
Coupled impact of climate change and human activities on farmland loss on the Tibetan Plateau
Indexing
Indexing is an important method to improve searching performance. Conventional index types do not handle spatial queries efficiently. Therefore, spatial indexing is designed specifically to enhance spatial search algorithms. Common spatial index methods include grid, quad‐tree, and R‐tree. These methods divide data space into several partitions and record the relations between partitions and minimum bounding rectangles ( MBR ) of spatial objects.…
Multifractal Characteristics of Seismogenic Systems and b Values in the Taiwan Seismic Region
Seismically active fault zones are complex natural systems and they exhibit multifractal correlation between earthquakes in space and time. In this paper, the seismicity of the Taiwan seismic region was studied through the multifractal characteristics of the spatial-temporal distribution of earthquakes from 1st January 1995 to 1st January 2019. We quantified the multifractal characteristics of Taiwan at different scales and defined them as ΔD val…
Digital Trade Feature Map
Product bilateral trade features can be organized and expressed in the Cartesian coordinate system by taking imports and exports as X and Y, which is similar to spatial visualization. Hence, geospatial expression and analysis methodologies can be applied in bilateral trade studies. In this paper, we propose a new digital trade feature map (DTFM) method for the visualization of bilateral trade features from a spatial perspective. The implementatio…
Spatial pattern of arable land-use intensity in China
Spatiotemporal Evolution of the Online Social Network after a Natural Disaster
Social media has been a vital channel for communicating and broadcasting disaster-related information. However, the global spatiotemporal patterns of social media users’ activities, interactions, and connections after a natural disaster remain unclear. Hence, we integrated geocoding, geovisualization, and complex network methods to illustrate and analyze the online social network’s spatiotemporal evolution. Taking the super typhoon Haiyan as a ca…
A soil sampling design for arable land quality observation by using SPCOSA–CLHS hybrid approach
Arable land quality has been evaluated through weighted average of indicators related to soil properties and tillage technics to present the most basic function of cropland: food production potential. A hybrid sampling method spatial coverage sampling and random sampling–conditioned Latin hypercube sampling (SPCOSA–CLHS) was designed for arable land quality observation network in this paper. The SPCOSA–CLHS integrates the uniform spatial partitio…
Determinant Powers of Socioeconomic Factors and Their Interactive Impacts on Particulate Matter Pollution in North China
Severe air pollution has significantly impacted climate and human health worldwide. In this study, global and local Moran's I was used to examine the spatial autocorrelation of PM 2.5 pollution in North China from 2000-2017, using data obtained from Atmospheric Composition Analysis Group of Dalhousie University. The determinant powers and their interactive effects of socioeconomic factors on this pollutant are then quantified using a non-linear m…
Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors
These results contribute to the development of more specific policies aimed at safety and successful property protection according to the regional differences during typhoons
Visualizing bivariate local spatial autocorrelation between commodity revealed comparative advantage index of China and USA from a new space perspective
The development of trade research plays an important role in enhancing the understanding of the trade relationship structure, evolution and relevant driving factors. While there is little research on analyzing and visualizing bilateral trade patterns and the evolution of numerous kinds of commodities. In this paper, we respectively calculate revealed comparative advantage index (RCAI) of each traded commodity of China and USA in 2017. Then the RC…
Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan
The public’s attitudes, emotions, and opinions reflect the state of society to a certain extent. Understanding the state and trends of public sentiment and effectively guiding the direction of sentiment are essential for maintaining social stability during disasters. Social media data have become the most effective resource for studying public sentiment. The TextBlob tool is used to calculate the sentiment value of tweets, and this research analy…
Geographic Complexity
Geography is a fundamentally important discipline that provides a framework for understanding the complex surface of our Earth [...]
Postearthquake situational awareness based on mobile phone signaling data
Temporal and Spatial Heterogeneity of PM2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018
In recent years, air pollution caused by PM 2.5 in China has become increasingly severe. This study applied a Bayesian space-time hierarchy model to reveal the spatiotemporal heterogeneity of the PM 2.5 concentrations in China. In addition, the relationship between meteorological and socioeconomic factors and their interaction with PM 2.5 during 2000-2018 was investigated based on the GeoDetector model. Results suggested that the concentration of…
Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China
The evaluation of the arable land ecosystem services capacity and arable land use intensity is important for recognizing regional key factors that impact the change of arable land attributes. A chronic lack of cooperation persists between these two fields of study, which makes providing sufficient information to support developing arable land use management and control policies difficult. In this study, the clustering characteristics of four arab…
Global online social response to a natural disaster and its influencing factors
The global public interest in a natural disaster event will help disaster-stricken areas obtain post-disaster international relief and assistance. However, knowledge gaps still exist in regard to global online social responses and their socioeconomic influencing factors. We used big social media data regarding the 2013 Super Typhoon Haiyan to explore global online social responses and to investigate the socioeconomic factors influencing this beha…
After the pandemic
The COVID-19 lockdowns have transitioned to a new normal and triggered commodity supply disruption and trade uncertainty, yet little is known about the seafood trade resilience of developing and developed countries amid pandemic-related shocks. Here, employing a newly developed geographical transition-net model, we simulate a set of idealized lockdown scenarios in a real-world seafood network. The results show that (1) even if restrictions from r…
Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China
Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender …
Associations between Different Ozone Indicators and Cardiovascular Hospital Admission
Epidemiological studies reported that ozone (O 3 ) is associated with cardiovascular diseases. However, only few of these studies examined the impact of multiple O 3 indicators on cardiovascular hospital admissions. This study aimed to explore and compare the impacts of different O 3 indicators on cardiovascular hospital admissions in Guangzhou, China. Based upon the data on daily cardiovascular hospital admissions, air pollution, and meteorologi…
Modelling and evaluating the economy-resource-ecological environment system of a third-polar city using system dynamics and ranked weights-based coupling coordination degree model
Prefecture-level health risk assessment for hot extremes in China
Evaluating prefecture-level health risks for hot extremes is the core of localized adaptation measures to mitigate negative heat-related impacts. Here, by applying the heat hazard-human exposure-social vulnerability framework, we assessed the prefecture-level health risk for summertime hot extremes in China, with multisource data from 329 prefecture units. Regions suffering very high and high levels of health risk were observed in several main ba…
The effect of day-to-day temperature variability on agricultural productivity
With rising extreme weather events due to climate change, the impact on agricultural production has become increasingly severe. Yet, there has been a significant gap in research that assesses the influence of day-to-day temperature variability on agricultural productivity on a global scale. Our study addresses this gap by exploring the effects of day-to-day temperature variability and the change of rainfall patterns on agricultural productivity w…
Economic resilience of regions within the global supply network in the aftermath of disaster
Exploring the impact of streetscapes on waterlogging risk from a 15-minute walkability perspective
Coupled impact of climate change and human activities on farmland loss on the Tibetan Plateau
Geography (22 obras) · China (10 obras) · Computer Science (10 obras) · Environmental Science (8 obras) · Economics (7 obras) · Mathematics (7 obras) · Environmental health (6 obras) · Medicine (6 obras) · Meteorology (6 obras) · Air Quality and Health Impacts (5 obras)