The spatial distribution and allocation of higher education resources are directly related to the region's innovation ability and competitiveness. As China's most dynamic economic region, rational layout of higher education resources of the Guangdong-Hong Kong-Macao Greater Bay Area is crucial to support its advancement into a world-class bay area. Based on the perspective of geographic space, this study summarizes the shortcomings of domestic and foreign research, follows the path of "resource pattern distribution and influencing mechanism", and uses the GINI coefficient and geographic detector analysis method to analyze the spatial distribution balance and influencing factors of higher education resources in the Guangdong-Hong Kong-Macao Greater Bay Area. The research shows: (1) The spatial distribution of higher education resources in the Guangdong-Hong Kong-Macao Greater Bay Area is obviously unbalanced, among which Guangzhou and Shenzhen are obviously unbalanced relative to population and economic distribution. (2) The spatial distribution of higher education resources in the Guangdong-Hong Kong-Macao Greater Bay Area is highly correlated with factors such as the number of urban primary and secondary school students, urban per capita GDP, urban population and urban education expenditure. In particular, it is greatly affected by the number of primary and secondary school students, indicating that higher education is greatly affected by basic education. (3) In the interactive factor detection, the number of urban primary and secondary school students combined with other factors will achieve a large nonlinear enhancement effect. It is expected that the spatial structure of educational resources in the Guangdong-Hong Kong-Macao Greater Bay Area will form a geographical spatial circle structure with four core cities of Hong Kong, Macao, Guangzhou and Shenzhen, and other cities such as Zhuhai, Dongguan and Foshan as the periphery in the future, radiating and driving the development of surrounding areas. The research helps to understand the specific gaps in the balance of the spatial structure of higher education resources in the Greater Bay Area, which is beneficial to the rational allocation of higher education resources and the rational tilt of policies.

Exploring the underlying laws behind road illegal incidents can reduce dangerous driving behaviors at the source and maintain social harmony and stability. It can also help the development of urban traffic with high efficiency and high quality, and improve the level of refined traffic governance. Therefore, the analysis of influencing factors of traffic violations in cities is an important prerequisite of accurate analysis of the laws of traffic violations. In this study. The authors took traffic violation data of Guangzhou in October 2015 as an example, and the association rule mining(ARM) of traffic violations and various influencing factors was carried out. Based on the FP-Growth algorithm, this paper excavates the relationship between the types of illegal activities, the time of occurrence, the spatial location and the information of the vehicles in the traffic violation data. It is found that large vehicles of local city are more likely to have no environmental protection signs and illegal use of lanes. Cars from other cities are more likely to overspeed; morning and evening peaks on working days are strongly related to violations of prohibition signs, while traffic violations on highways are more likely to occur on weekends. By introducing POI data and spatial location information, this article can more accurately identify high-incidence traffic violations near specific road sections or public facilities, and provide support for fixed-point traffic governance.

The history of exploring land consolidation in rural areas of China is long-standing. By sorting out and summarizing the historical processes of land consolidation in different periods of rural China after the founding of the People's Republic of China, this article analyzes and summarizes the backgrounds and characteristics of land consolidation in three stages, respectively. It also examines the advantages and characteristics of the typical models of rural land consolidation in China today. Through the analysis and generalization of five models, including the investor model, EPC model, PPP model, villagers' autonomous model, and comprehensive model, the article identifies the ongoing issues in rural land consolidation in China, such as the imbalance of stakeholder interests in the land consolidation process, the need for continuous innovation in land consolidation, the singular objective of land consolidation, the low popularization rate of land consolidation, and inadequate supervision. By combining the current stage of China's socio-economic development in the new era with the background of policies related to rural revitalization, the article proposes that the exploration of rural land consolidation in China should always focus on rural agriculture and farmers, serve rural development, and increase awareness and promotion of land consolidation in rural areas. Secondly, it is necessary to continuously carry out institutional innovations to cope with the constantly changing external environment and improve the internal supervision system, enhance public participation, and always protect the rights and interests of farmers in the land consolidation process. Finally, various forms of land consolidation exploration should be encouraged to continuously enrich the connotation of land consolidation and achieve its outcomes while seeking a rural land consolidation model with Chinese characteristics in the context of the new era.

In recent years, with the support and promotion of relevant policies, the work of rural land transfer in China has been gradually promoted, but many problems have also been encountered in practice. Taking Jiangmen City, Guangdong Province as an example, this paper uses the FAT institutional analysis framework in the institutional credibility theory to analyze the operational logic of the farmland transfer system. The study found that the practice of rural land transfer is jointly promoted by the government, village collective, farmers and operators. The key to the effective implementation of the rural land transfer system is to gather the consensus of the main body on the system, that is, the perception of system credibility. At present, the system of rural land circulation has encountered a dilemma in the implementation of the system in practice. The system in practice is difficult to meet the expectations of the participants, affects the perception of the main body of the system function, and is difficult to form a joint force to promote rural land circulation. Therefore, the formulation of the farmland transfer system should pay attention to the demands of the actors and regional differences, give play to the endogenous power of the countryside, and explore the effective realization of activating the farmland resources. This study enriches the application of credibility theory in China's land management, reorganizes a credible land transfer mechanism, helps optimize the rural land transfer system, and provides reference for dealing with the relevant "three rural issues".

Cities are facing a range of climate-related issues due to increased human activities and rapid urbanization. These issues include high energy consumption, air pollution, thermal discomfort and disease transmission, which can harm public health and quality of life. To develop effective planning strategies and gain a better understanding of the urban climatic environment, geospatial techniques have been employed. Satellite data has been widely used in urban climate studies due to its capability to quickly gather data over large areas. This study aims to provide a review of remote sensing techniques and its applications, including how different built environments affect urban warming and cooling effects. Additionally, this study presents further directions for remote sensing applications, which can be useful for future urban climate research.

The coast of Pearl River estuary is one of the most densely populated, economically active, and resource-intensive large-scale estuarine coastal zone in China and the world. It is facing many problems such as excessive reclamation, functional degradation, and resource attenuation, which poses a serious threat to regional ecological balance and high-quality development. Due to the limited load of traditional remote sensing processing platform, the consistency of image processing in medium and large scale areas is poor, resulting in low accuracy of ground object classification results. Based on the Google Earth Engine(GEE) cloud platform, five periods of land use type data were obtained from 2000 to 2020, with the total accuracy ranging from 86.27% to 90.15%. Secondly, land use transfer matrix and dynamic degree are used to describe the temporal and spatial characteristics of land use transition in the coast of Pearl River Estuary. Finally, the influence mechanism of landscape evolution in the Pearl River Estuary is quantitatively revealed by using the optimal parameter geographic detector the geographic detector. The results are as follows: (1) The coastal landscape pattern of the Pearl River Estuary altered frequently over the past twenty years, with the comprehensive dynamic degree ranging from 2.66% to 3.62%. The dramatically shift between forest and cultivated land was observed in the western coast of the Pearl River Estuary, while the strong growth of construction land was mainly detected in the eastern coast of the Pearl River Estuary. (2) The optimal parameters of geographic detection of coastal landscape evolution in the Pearl River Estuary could be divided into 9~15 categories, and the optimal spatial scale threshold of geographical detection of impact factors was 90 m×90 m. (3) The coastal landscape evolution pattern of the Pearl River Estuary suffered from both natural and anthropogenic factors at different periods. The driving force of the two-factor interaction was significantly higher than that of the single-factor driving force, showing a two-factor enhancement effect or nonlinear enhancement. And the interaction between GDP variation and temperature variation, with a q value of 0.345, contributed the most to the change of mangrove forest from 2000 to 2005. The study revealed that future resource planning and utilization and comprehensive management of the Pearl River Estuary coastal zone should be paid enough attention to the scale effect of landscape patches. In addition, quantitative detection of interaction between GDP and other factors was in the primary determinants of land use change. To balance the coordination relationship between the rapid economic growth and the regional ecological environment, and promote the high-quality development of the Guangdong-Hong Kong-Macao Greater Bay Area.

The identification of spatial distribution and evolution characteristics of regional ecological resources play an important role in the sustainable regional development and ecological civilization construction. Shaanxi Province was selected as the classical area due to the fragile ecological environment, and major ecological resources such as cultivated land, forest land, grassland, and water resources were selected as the evaluation indexes. Based on the panel data of Shaanxi Province in 2014, 2016 and 2018, the spatio-temporal distribution characteristics and evolution laws of regional ecological resources are revealed by comprehensively using entropy method, density analysis and other research methods. The results show that the change of ecological resources in Shaanxi province is significant during 2014—2018, and the distribution of ecological resources has a strong spatial and temporal heterogeneity. The spatial distribution pattern of ecological resources is "dense in the north and south, sparse in the middle", and the gradient distribution of regional ecological resources is significant. There are obvious regional differences in land use structure in Shaanxi Province. Grassland is concentrated in northern Shaanxi, cultivated land is concentrated in Guanzhong region, forest land is concentrated in southern Shaanxi, and water resources are concentrated in the east of Guanzhong region and the middle of southern Shaanxi. This study provides a reference for decision-making of ecological resource restoration and protective development, and suggests that different regions should adopt different measures. The construction of ecological spatial governance is urgent in China's sustainable development.

Electronic information industry is the strategic pillar industry in Pearl River Delta region.This article employ location quotient model to explore the agglomeration level of the electronic information industry in the Pearl River Delta region as well as the POI data of electronic information enterprises, using standard deviation ellipse, kernel density estimation, spatial auto-correlation analysis and other methods to check the spatial distribution pattern of the electronic information industry in the Pearl River Delta region from 2015 to 2022. In addition, the authors use OLS, SLM and SEM three spatial measurement models to select the optimal model to explore its influencing factors. The results show that: Firstly,There are differences in the level of electronic information industry agglomeration among cities in the Pearl River Delta, Guangzhou and Shenzhen are in the leading position. Secondly, the spatial distribution of the electronic information industry in the Pearl River Delta has evolved from a scattered distribution with Guangzhou and Shenzhen as the core to a contiguous distribution in the surrounding cities. Thirdly, R&D talents, scientific and technological innovation ability, economic development level and capital investment enthusiasm are important factors affecting the spatial distribution of electronic information industry in the Pearl River Delta region.The level of economic development, information technology talents, research and development funds input, scientific and technological innovation ability, and transportation infrastructure are the important factors affecting the spatial distribution of electronic information industry in the Pearl River Delta region.

This paper takes the electronic information industry cluster in the Pearl River Delta as the research object, collects the joint application for invention patents in the Pearl River Delta region as the data source, uses the social network analysis method to construct the cluster innovation network, and describes the evolution process of the network space pattern. From the perspective of multi-dimensional proximity, its evolution mechanism is analyzed and discussed. The results show that: (1) The spatial pattern of the Pearl River Delta network has changed from a "core-periphery" structure to a multi-core development, and the status of Dongguan and Foshan in the network has been further improved, sharing the pressure for Guangzhou and Shenzhen; (2) Geographical proximity, organizational proximity and technological proximity play a significant role in driving the development and evolution of the electronic information industry cluster in the Pearl River Delta; (3) With the different stages of industrial development, the influence of proximity also varies; (4) There is a mutual substitution effect between geographic proximity and organizational proximity, and a complementary effect between organizational proximity and technical proximity; (5) Individual and network structure attributes have an important impact on the evolution of the Pearl River Delta cluster innovation network.

Improving the industrial development intention of farmers out of poverty plays an important role in consolidating the results of industrial poverty alleviation, realizing high-quality agricultural development in areas out of poverty and promoting rural revitalization. The theoretical research on strengthening the industrial development intention of farmers out of poverty is a major issue that needs urgent attention in the current academic circle. Why do farmers have the intention of industrial development? The key to answer this question is to make clear the main factors that affect the industrial development intention of farmers and explore the operating mechanism among these factors. Taking southwest China as an example, this paper uses the research paradigm of grounded theory to try to extract the main factors that affect the industrial development intention of poverty-stricken farmers and build a theoretical model. The results show that: (1) Income expectation, titer factor, subject factor, object factor and intermediary factor are the main factors that affect the industrial development intention of farmers; (2) From the perspective of influencing mechanism, income expectation is the fundamental internal driving force of farmers' industrial development intention, the titer factor is the direct driving force, the subject factor and the object factor are the basic security force, and the intermediary factor is the exogenous regulatory force; (3) Based on the logical line of behavioral intention contained among factors, a four-stage model of farmers' industrial development intention with the framework of "income consideration - condition evaluation - intermediary catalysis - development intention" is constructed, which has a comprehensive and systematic explanatory power for the systematic understanding of farmers' rural industrial development intention. Finally, the paper puts forward the corresponding policy enlightenment from four aspects: income consideration, risk prevention, condition evaluation and policy implantation.

Qiaoxiang is a complex social space in which the development practices of overseas Chinese and their homelands at home and abroad are viewed and the cross-cultural and cross-institutional interactions are examined. This paper reveals the complex processes and laws of power interaction among transnational subjects through tourism development in Qiaoxiang, using the expropriation of the Guan Library in the Chikan ancient town as a case study, based on a continuous six-month field survey, and by constructing a theoretical framework of politics of scale. The results show that: in the process of the development of Qiaoxiang, the scale relations characterized by the interweaving of vertical scale of sectional power and horizontal scale of social networks at home and abroad; in the process of politics of scale around property rights, transnational subjects use three forms of scale strategies, vertical, horizontal and expressive, to reconstruct scale, and use scale upward and downward pushing to generate new scale as a means of struggle; The relatively weak subjects usually use the means of upscale to break the inherent scale boundary and complete the scale transformation; the relatively strong subjects use the strategy of downscale to consolidate their own scale boundary and achieve the purpose of scale fixation; the expression scale, as a common scale tool for all subjects, assists in achieving the purpose of their respective games in the vertical or horizontal scale; the vertical scale of domestic section administrative power acts as a rigid scale to determine the final trend of the outcome, while the horizontal scale between clan social networks at home and abroad as a flexible scale influences the decision formation, and how to pry and obtain the support of higher vertical scale is the key to realize the transformation of power relations. The results seek to present the special "Qiao" characteristics of transnational social space in Qiaoxiang, provide theoretical guidance and empirical reference for better guiding the development and governance of Qiaoxiang, and initially respond to the long neglected concern of geography about the special people-territory relationship and its spatial response in Qiaoxiang.

As an important part of the health industry, it is of great theoretical and practical significance to grasp the development potential of recreation tourism from a spatial and temporal perspective to clarify the development direction and pattern of recreation tourism. In the context of "health China" strategy, the study explores the spatio-temporal evolution pattern and coupling coordination types of the development potential of health tourism in China during 2011 to 2020 by adopting entropy weight method, TOPSIS method, ESTDA, spatial Dubin model, obstacle model and least variance method, locating the factors that make contribution to the spatial variation of development potential of health tourism, and that impede the improvement of the development potential. The results interpret that: (1) From 2011 to 2020, the development potential of health tourism in different regions of China is relatively low, but it shows an upward trend of fluctuation, and keeps a relatively stable spatial pattern on the whole. The development potential of health tourism in the western and southeast coastal regions has obvious changes, and the difference between them and the surrounding provinces fluctuates greatly. (2) From 2011 to 2020, the spatial spillover effect of China's health tourism development potential was weakened, and the northeast, North and central China maintained an obvious phenomenon of "low-value club aggregation". (3) On the whole China, raising tourism development potential of local cooperation situation is obviously stronger than the competition, including inbound tourism revenue per one thousand people, nature reserve area, health and technical personnel, the number of personnel of Chinese medicine, the per capita GDP and the number of students in institutions of higher learning of tourism elements such as region or the adjacent area, tourism development potential has significantly positive effects.

Based on the analysis framework of time-space constraints, this paper integrates the perception perspective and preference characteristics of urban migrants, takes the urban migrants in ten urban villages in Guangzhou as an example, and uses the method of questionnaire survey to explore the time-space selection and constraints of this group's leisure behavior. The study found that: (1) The leisure behavior characteristics of urban migrants show the characteristics of leisure time, leisure space based on their own, and less leisure consumption; (2) The constraints of urban migrants' leisure perception can be divided into three dimensions, including structural constraints, combination constraints and capacity constraints, especially, urban migrants perceived the highest in structural dimension and the lowest in capacity. (3) Capacity constraints have a significant negative impact on the leisure time and outdoor leisure of urban migrants, reflecting that the high working hours and low income perceived by urban migrants are the most important constraints restricting their leisure activities; (4) The value preference, individual socioeconomic attributes and living space characteristics of urban migrants have a significant impact on their leisure time and leisure space distribution. This paper establishes a dialogue with the three constraints of space-time behavior in time geography, integrates the perspective of leisure perception constraints, and explores the constraints of leisure behavior in public space and private space in the era of smart phones. This study is helpful to understand the leisure behavior and constraints of urban migrants, and then improve the quality of leisure activities carried out by urban migrants from the policy level, enhance their sense of happiness and gain in urban life, and promote people-oriented urbanization.