Yichun Xie
Dados Biográficos
| ID | 3635593 |
|---|---|
| NOME | Yichun Xie |
| PRENOMES | Yichun |
| SOBRENOME | Xie |
| ASSINATURA | XIE Y |
| AFILIAÇÕES | Eastern Michigan University |
| ORCID | 0000-0002-2045-6406 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 24 |
| TOTAL DE CITAÇÕES | 110 |
| TOTAL COMO AUTOR | 24 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1990 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 6 |
A causal deep learning framework for simulating the thermal impact of urban land use changes
Diet and Cultural Transition in Sixth Century ad China
Scientific archaeology has drawn new attention to the agricultural and pastoral interactions of medieval China and their impact upon Han and non‐Han groups. The aim of this research is to introduce a number of key new stable isotope data pointing to ancient diet, offering a new perspective on the “sinicization” debate in medieval China. While generational shifts between primarily pastoral and agricultural diets occurred prior to the sixth century…
A geo-intelligence paradigm examining and curbing shrinking cities
Spatial spillover effects of urban decline in Southeast Michigan
Developing Shopping and Dining Walking Indices Using POIs and Remote Sensing Data
Walking is one of the most commonly promoted traveling methods and is garnering increasing attention. Many indices/scores have been developed by scholars to measure the walkability in a local community. However, most existing walking indices/scores involve urban planning-oriented, local service-oriented, regional accessibility-oriented, and physical activity-oriented walkability assessments. Since shopping and dining are two major leisure activit…
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)
A New Urban Typology Model Adapting Data Mining Analytics to Examine Dominant Trajectories of Neighborhood Change
This article develops an integrated methodology to investigate dominant trajectories of neighborhood change that are often confronted in urban studies. Currently, researchers are using k-means cluster analysis to establish diverse neighborhood typologies and principal component analysis (PCA) to identify socioeconomic interactions explaining the neighborhood typologies. Little attention has been given to longitudinal trajectories and dynamics of …
A method for delineating a hierarchically networked structure of urban landscape
We developed a new approach combining statistical and graphical methods to build a hierarchically networked structure for understanding spatial characteristics of urban landscapes at multiple scales. Natural breaks optimization algorithm is applied to determine the optimal number of urban land hierarchies and assign discrete patches into ordered sub-groups according to a selected geometric or functional attribute. Patches contained in a sub-group…
Responses to climate and economic risks and opportunities across national and ecological boundaries
Climate changes on the Mongolian Plateau are creating new challenges for the households and communities of the region. Much of the existing research on household choices in response to climate variability and change focuses on environmental risks and stresses. In contrast, our analysis highlights the importance of taking into account environmental and economic opportunities in explaining household adaptation choices. We surveyed over 750 househol…
Measuring the Dragging Effect of Natural Resources on Economic Growth
China has witnessed rapid economic growth in recent decades, but it increasingly faces the challenges of water shortage and arable land depletion. This article develops a space–time panel filter model (STPFM) to measure the dragging effects of the arable land and available water resources on economic growth in China at both the national and regional levels. Unlike traditional panel models, the STPFM allows us to explicitly account for spatial cro…
The urban system in West China
Simulating Emergent Urban Form Using Agent-Based Modeling
We propose that the emergent phenomenon know as “desakota,” the rapid urbanization of densely populated rural populations in the newly developed world, particularly China, can be simulated using agent-based models that combine bottom-up actions with global interactions. We argue that desakota represents a surprising and unusual form of urbanization well-matched to processes of land development that are locally determined but moderated by the high…
Socio-economic driving forces of arable land conversion
Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS
Examine Urban Expansion From Remote Sensing and Gis
This paper integrates remote sensing (RS) and geographic information system (GIS) technologies to study urban expansion in Beijing, China. This research attempts to explore how socio-economic factors affect urban land cover changes, and to test out a new approach (the Gray Relation Analysis based on RS/GIS) to study possible relationships between the physical changes and the socio-economic characteristics of urban expansion. The Beijing case stud…
Self‐organized criticality and urban development
Urban society is undergoing as profound a spatial transformation as that associated with the emergence of the industrial city two centuries ago. To describe and measure this transition, we introduce a new theory based on the concept that large‐scale, complex systems composed of many interacting elements, show a surprising degree of resilience to change, holding themselves at critical levels for long periods until conditions emerge which move the …
Preliminary Evidence for a Theory of the Fractal City
In this paper, we argue that the geometry of urban residential development is fractal. Both the degree to which space is filled and the rate at which it is filled follow scaling laws which imply invariance of function, and self-similarity of urban form across scale. These characteristics are captured in population density functions based on inverse power laws whose parameters are fractal dimensions. First we outline the relevant elements of the t…
Morphology from Imagery
Defining urban morphology in terms of the shape and density of urban land use has hitherto depended upon the informed yet subjective recognition of patterns consistent with spatial theory. In this paper we exploit the potential of urban image analysis from remotely sensed data to detect, then measure, various elements of urban form and its land use, thus providing a basis for consistent definition and thence comparison. First, we introduce method…
City Forms of China and India in Global Perspective
Retrospective of China's urbanization and regional development in the era of economic reforms
Foreign Joint Ventures in the People's Republic of China, 1979 to 1985
Urban planning in socialist China
Spatial disparities of urban socio-economic development in the People's Republic of China
Perspectives on city-size and investment effectiveness in China
Socio-economic driving forces of arable land conversion
Simulating Emergent Urban Form Using Agent-Based Modeling
We propose that the emergent phenomenon know as “desakota,” the rapid urbanization of densely populated rural populations in the newly developed world, particularly China, can be simulated using agent-based models that combine bottom-up actions with global interactions. We argue that desakota represents a surprising and unusual form of urbanization well-matched to processes of land development that are locally determined but moderated by the high…
Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS
Preliminary Evidence for a Theory of the Fractal City
In this paper, we argue that the geometry of urban residential development is fractal. Both the degree to which space is filled and the rate at which it is filled follow scaling laws which imply invariance of function, and self-similarity of urban form across scale. These characteristics are captured in population density functions based on inverse power laws whose parameters are fractal dimensions. First we outline the relevant elements of the t…
Urban planning in socialist China
Morphology from Imagery
Defining urban morphology in terms of the shape and density of urban land use has hitherto depended upon the informed yet subjective recognition of patterns consistent with spatial theory. In this paper we exploit the potential of urban image analysis from remotely sensed data to detect, then measure, various elements of urban form and its land use, thus providing a basis for consistent definition and thence comparison. First, we introduce method…
A New Urban Typology Model Adapting Data Mining Analytics to Examine Dominant Trajectories of Neighborhood Change
This article develops an integrated methodology to investigate dominant trajectories of neighborhood change that are often confronted in urban studies. Currently, researchers are using k-means cluster analysis to establish diverse neighborhood typologies and principal component analysis (PCA) to identify socioeconomic interactions explaining the neighborhood typologies. Little attention has been given to longitudinal trajectories and dynamics of …
Spatial disparities of urban socio-economic development in the People's Republic of China
The urban system in West China
Foreign Joint Ventures in the People's Republic of China, 1979 to 1985
Perspectives on city-size and investment effectiveness in China
A method for delineating a hierarchically networked structure of urban landscape
We developed a new approach combining statistical and graphical methods to build a hierarchically networked structure for understanding spatial characteristics of urban landscapes at multiple scales. Natural breaks optimization algorithm is applied to determine the optimal number of urban land hierarchies and assign discrete patches into ordered sub-groups according to a selected geometric or functional attribute. Patches contained in a sub-group…
Measuring the Dragging Effect of Natural Resources on Economic Growth
China has witnessed rapid economic growth in recent decades, but it increasingly faces the challenges of water shortage and arable land depletion. This article develops a space–time panel filter model (STPFM) to measure the dragging effects of the arable land and available water resources on economic growth in China at both the national and regional levels. Unlike traditional panel models, the STPFM allows us to explicitly account for spatial cro…
Examine Urban Expansion From Remote Sensing and Gis
This paper integrates remote sensing (RS) and geographic information system (GIS) technologies to study urban expansion in Beijing, China. This research attempts to explore how socio-economic factors affect urban land cover changes, and to test out a new approach (the Gray Relation Analysis based on RS/GIS) to study possible relationships between the physical changes and the socio-economic characteristics of urban expansion. The Beijing case stud…
Perspectives on city-size and investment effectiveness in China
Spatial disparities of urban socio-economic development in the People's Republic of China
Retrospective of China's urbanization and regional development in the era of economic reforms
Foreign Joint Ventures in the People's Republic of China, 1979 to 1985
Urban planning in socialist China
City Forms of China and India in Global Perspective
Morphology from Imagery
Defining urban morphology in terms of the shape and density of urban land use has hitherto depended upon the informed yet subjective recognition of patterns consistent with spatial theory. In this paper we exploit the potential of urban image analysis from remotely sensed data to detect, then measure, various elements of urban form and its land use, thus providing a basis for consistent definition and thence comparison. First, we introduce method…
Preliminary Evidence for a Theory of the Fractal City
In this paper, we argue that the geometry of urban residential development is fractal. Both the degree to which space is filled and the rate at which it is filled follow scaling laws which imply invariance of function, and self-similarity of urban form across scale. These characteristics are captured in population density functions based on inverse power laws whose parameters are fractal dimensions. First we outline the relevant elements of the t…
Self‐organized criticality and urban development
Urban society is undergoing as profound a spatial transformation as that associated with the emergence of the industrial city two centuries ago. To describe and measure this transition, we introduce a new theory based on the concept that large‐scale, complex systems composed of many interacting elements, show a surprising degree of resilience to change, holding themselves at critical levels for long periods until conditions emerge which move the …
Examine Urban Expansion From Remote Sensing and Gis
This paper integrates remote sensing (RS) and geographic information system (GIS) technologies to study urban expansion in Beijing, China. This research attempts to explore how socio-economic factors affect urban land cover changes, and to test out a new approach (the Gray Relation Analysis based on RS/GIS) to study possible relationships between the physical changes and the socio-economic characteristics of urban expansion. The Beijing case stud…
Socio-economic driving forces of arable land conversion
Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS
The urban system in West China
Simulating Emergent Urban Form Using Agent-Based Modeling
We propose that the emergent phenomenon know as “desakota,” the rapid urbanization of densely populated rural populations in the newly developed world, particularly China, can be simulated using agent-based models that combine bottom-up actions with global interactions. We argue that desakota represents a surprising and unusual form of urbanization well-matched to processes of land development that are locally determined but moderated by the high…
Responses to climate and economic risks and opportunities across national and ecological boundaries
Climate changes on the Mongolian Plateau are creating new challenges for the households and communities of the region. Much of the existing research on household choices in response to climate variability and change focuses on environmental risks and stresses. In contrast, our analysis highlights the importance of taking into account environmental and economic opportunities in explaining household adaptation choices. We surveyed over 750 househol…
Measuring the Dragging Effect of Natural Resources on Economic Growth
China has witnessed rapid economic growth in recent decades, but it increasingly faces the challenges of water shortage and arable land depletion. This article develops a space–time panel filter model (STPFM) to measure the dragging effects of the arable land and available water resources on economic growth in China at both the national and regional levels. Unlike traditional panel models, the STPFM allows us to explicitly account for spatial cro…
A method for delineating a hierarchically networked structure of urban landscape
We developed a new approach combining statistical and graphical methods to build a hierarchically networked structure for understanding spatial characteristics of urban landscapes at multiple scales. Natural breaks optimization algorithm is applied to determine the optimal number of urban land hierarchies and assign discrete patches into ordered sub-groups according to a selected geometric or functional attribute. Patches contained in a sub-group…
A New Urban Typology Model Adapting Data Mining Analytics to Examine Dominant Trajectories of Neighborhood Change
This article develops an integrated methodology to investigate dominant trajectories of neighborhood change that are often confronted in urban studies. Currently, researchers are using k-means cluster analysis to establish diverse neighborhood typologies and principal component analysis (PCA) to identify socioeconomic interactions explaining the neighborhood typologies. Little attention has been given to longitudinal trajectories and dynamics of …
Developing Shopping and Dining Walking Indices Using POIs and Remote Sensing Data
Walking is one of the most commonly promoted traveling methods and is garnering increasing attention. Many indices/scores have been developed by scholars to measure the walkability in a local community. However, most existing walking indices/scores involve urban planning-oriented, local service-oriented, regional accessibility-oriented, and physical activity-oriented walkability assessments. Since shopping and dining are two major leisure activit…
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)
Spatial spillover effects of urban decline in Southeast Michigan
A geo-intelligence paradigm examining and curbing shrinking cities
Diet and Cultural Transition in Sixth Century ad China
Scientific archaeology has drawn new attention to the agricultural and pastoral interactions of medieval China and their impact upon Han and non‐Han groups. The aim of this research is to introduce a number of key new stable isotope data pointing to ancient diet, offering a new perspective on the “sinicization” debate in medieval China. While generational shifts between primarily pastoral and agricultural diets occurred prior to the sixth century…
A causal deep learning framework for simulating the thermal impact of urban land use changes
Geography (19 obras) · China (15 obras) · Land Use and Ecosystem Services (12 obras) · Economic geography (11 obras) · Economics (11 obras) · Computer Science (10 obras) · Land use (9 obras) · Civil engineering (8 obras) · Engineering (7 obras) · Political science (7 obras)