Penghui Gao
Biographic Data
| ID | 698969 |
|---|---|
| NAME | Penghui Gao |
| GIVEN NAMES | Penghui |
| FAMILY NAME | Gao |
| SIGNATURE | GAO P |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0003-1714-779X |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Composite driving mechanisms of farmland abandonment in plains and mountainous areas of China from a 1-km grid perspective
Interprovincial food trade disproportionately concentrates synergistic improvements across water-related SDGs in the high-income group
Interprovincial food trade redistributes scarce water resources through virtual water transfers, simultaneously shaping progress toward multiple Sustainable Development Goals (SDGs). However, existing assessments remain limited in both spatial and thematic resolution, hindering the accurate identification of regions and populations benefiting or suffering from trade-mediated water reallocation. Here, under the observed 2020 interprovincial trade …
Reducing cropland fragmentation may not be universally beneficial at increasing land use efficiency: Evidence from multiscale spatial analysis of Huang-Huai-Hai region, China
Integrating national integrated assessment model and land-use intensity for estimating China's terrestrial ecosystem carbon storage
Loan packaging decisions for beginning African American and other socially disadvantaged farmers
This study presents evidence on the relative accommodation of credit requests made by minority start-up entrepreneurs in the U.S. farm sector. Loan packaging terms (amount, interest rate, and maturity) prescribed by lending officers of the Farm Service Agency, the government's lending arm to the farm sector, are analyzed and compared across racial/ethnic and gender groups of borrowers. The intention is to discern whether prescribed loan terms are…
Quantification of systemic importance of SDGs in Asian‐African countries: A network hierarchy analysis
Asian‐African countries face challenges in achieving the 2030 Agenda and require scientific support for progress. Studies have focused on reorganizing important Sustainable Development Goals (SDGs) and targets to assess their priorities in these countries considering internal interactions. While previous studies mainly considered first‐order interactions among SDGs, some scholars have emphasized the significance of high‐order interactions that am…
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: Concepts, Theories, and Practices
Geography is a fundamentally important discipline that provides a framework for understanding the complex surface of our Earth [...]
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…
Exploring the Structural Fractality of Urban Road Networks by Different Representations
Organisms and other living things grow as fractals, helping to maximize space-filling ability and transmit flow efficiently. In recent years, many studies on fractals have been carried out, mostly at a geometric level, although little work has been done on fractal properties at a structural level. In fact, the capacity of geographical objects, especially road networks, is dependent not only on the geometric distribution described by a geometric f…
Digital Trade Feature Map: A New Method for Visualization and Analysis of Spatial Patterns in Bilateral Trade
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
Visualising the expansion and spread of coronavirus disease 2019 by cartograms
Coronavirus disease 2019 (COVID-19) has emerged as a growing focus of global attention and a critical factor in public-health decision making. Towards fighting the COVID-19 outbreak, countries worldwide and international organisations have taken various actions, including promoting the transparency of and public access to disease data. In such public communications, maps have played an important role in that a map is worth a thousand words. Most …
Mapping the changing Internet attention to the spread of coronavirus disease 2019 in China
The incessant spread of the coronavirus disease 2019 (COVID-19) has been a great threat to human health. By 17 March 2020, the number of laboratory-confirmed cases had exceeded 179,000, with more than 7000 deaths across at least 150 countries. Due to the extremely contagious nature of COVID-19, the Chinese government has made broad and aggressive responses to restrict movement, transportation, and business for six to eleven weeks. Wuhan, a city i…
Unified Metrics for Characterizing the Fractal Nature of Geographic Features
The term fractal is used to describe an object displaying self-similarity at different scales. This self-similarity can be measured by either the power-law exponent or the ht-index, which is a recently proposed method for characterizing the fractal nature of geographic features. Although increasingly popular in geography, the ht-index is not sensitive to changes or evolutions of fractals, limiting its usefulness as an alternative “fractal dimensi…
Spatial pattern of arable land-use intensity in China
Visualising the expansion and spread of coronavirus disease 2019 by cartograms
Coronavirus disease 2019 (COVID-19) has emerged as a growing focus of global attention and a critical factor in public-health decision making. Towards fighting the COVID-19 outbreak, countries worldwide and international organisations have taken various actions, including promoting the transparency of and public access to disease data. In such public communications, maps have played an important role in that a map is worth a thousand words. Most …
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…
Quantification of systemic importance of SDGs in Asian‐African countries: A network hierarchy analysis
Asian‐African countries face challenges in achieving the 2030 Agenda and require scientific support for progress. Studies have focused on reorganizing important Sustainable Development Goals (SDGs) and targets to assess their priorities in these countries considering internal interactions. While previous studies mainly considered first‐order interactions among SDGs, some scholars have emphasized the significance of high‐order interactions that am…
Mapping the changing Internet attention to the spread of coronavirus disease 2019 in China
The incessant spread of the coronavirus disease 2019 (COVID-19) has been a great threat to human health. By 17 March 2020, the number of laboratory-confirmed cases had exceeded 179,000, with more than 7000 deaths across at least 150 countries. Due to the extremely contagious nature of COVID-19, the Chinese government has made broad and aggressive responses to restrict movement, transportation, and business for six to eleven weeks. Wuhan, a city i…
Unified Metrics for Characterizing the Fractal Nature of Geographic Features
The term fractal is used to describe an object displaying self-similarity at different scales. This self-similarity can be measured by either the power-law exponent or the ht-index, which is a recently proposed method for characterizing the fractal nature of geographic features. Although increasingly popular in geography, the ht-index is not sensitive to changes or evolutions of fractals, limiting its usefulness as an alternative “fractal dimensi…
Unified Metrics for Characterizing the Fractal Nature of Geographic Features
The term fractal is used to describe an object displaying self-similarity at different scales. This self-similarity can be measured by either the power-law exponent or the ht-index, which is a recently proposed method for characterizing the fractal nature of geographic features. Although increasingly popular in geography, the ht-index is not sensitive to changes or evolutions of fractals, limiting its usefulness as an alternative “fractal dimensi…
Digital Trade Feature Map: A New Method for Visualization and Analysis of Spatial Patterns in Bilateral Trade
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
Visualising the expansion and spread of coronavirus disease 2019 by cartograms
Coronavirus disease 2019 (COVID-19) has emerged as a growing focus of global attention and a critical factor in public-health decision making. Towards fighting the COVID-19 outbreak, countries worldwide and international organisations have taken various actions, including promoting the transparency of and public access to disease data. In such public communications, maps have played an important role in that a map is worth a thousand words. Most …
Mapping the changing Internet attention to the spread of coronavirus disease 2019 in China
The incessant spread of the coronavirus disease 2019 (COVID-19) has been a great threat to human health. By 17 March 2020, the number of laboratory-confirmed cases had exceeded 179,000, with more than 7000 deaths across at least 150 countries. Due to the extremely contagious nature of COVID-19, the Chinese government has made broad and aggressive responses to restrict movement, transportation, and business for six to eleven weeks. Wuhan, a city i…
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…
Exploring the Structural Fractality of Urban Road Networks by Different Representations
Organisms and other living things grow as fractals, helping to maximize space-filling ability and transmit flow efficiently. In recent years, many studies on fractals have been carried out, mostly at a geometric level, although little work has been done on fractal properties at a structural level. In fact, the capacity of geographical objects, especially road networks, is dependent not only on the geometric distribution described by a geometric f…
Geographic Complexity: Concepts, Theories, and Practices
Geography is a fundamentally important discipline that provides a framework for understanding the complex surface of our Earth [...]
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…
Quantification of systemic importance of SDGs in Asian‐African countries: A network hierarchy analysis
Asian‐African countries face challenges in achieving the 2030 Agenda and require scientific support for progress. Studies have focused on reorganizing important Sustainable Development Goals (SDGs) and targets to assess their priorities in these countries considering internal interactions. While previous studies mainly considered first‐order interactions among SDGs, some scholars have emphasized the significance of high‐order interactions that am…
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
Integrating national integrated assessment model and land-use intensity for estimating China's terrestrial ecosystem carbon storage
Loan packaging decisions for beginning African American and other socially disadvantaged farmers
This study presents evidence on the relative accommodation of credit requests made by minority start-up entrepreneurs in the U.S. farm sector. Loan packaging terms (amount, interest rate, and maturity) prescribed by lending officers of the Farm Service Agency, the government's lending arm to the farm sector, are analyzed and compared across racial/ethnic and gender groups of borrowers. The intention is to discern whether prescribed loan terms are…
Reducing cropland fragmentation may not be universally beneficial at increasing land use efficiency: Evidence from multiscale spatial analysis of Huang-Huai-Hai region, China
Composite driving mechanisms of farmland abandonment in plains and mountainous areas of China from a 1-km grid perspective
Interprovincial food trade disproportionately concentrates synergistic improvements across water-related SDGs in the high-income group
Interprovincial food trade redistributes scarce water resources through virtual water transfers, simultaneously shaping progress toward multiple Sustainable Development Goals (SDGs). However, existing assessments remain limited in both spatial and thematic resolution, hindering the accurate identification of regions and populations benefiting or suffering from trade-mediated water reallocation. Here, under the observed 2020 interprovincial trade …
Geography (11 works) · Computer Science (10 works) · Land Use and Ecosystem Services (8 works) · China (7 works) · Agriculture (5 works) · Business (5 works) · Economics (5 works) · Land use (5 works) · Sustainable development (5 works) · Environmental Science (4 works)