The social geographic system showed great complexity in space and time, and its dynamics presented nonlinear changes and mutations, which might further affect the geographical scene as the basis of economic and production activities. Similarly, the organizational form, strategic path, and goal vision of industrial activities reacted to the operation and performance of the social geographic system, bring a series of socio-economic environmental effects across time and space scale, and deeply affected the governance decision-making and its effectiveness. The process of urbanization results in the loss of cropland and ecological land, which poses threats to food security and ecosystem conservation. Therefore, in view of the sustainable development of the wide extension, development, and mutual feeding of the social geographic system, how to understand the spatio-temporal characteristics and mechanism of cropland displacement as well as its impact is far-reaching meaningful in coordinating urbanization, food security, and ecosystem conservation.
Facing the sustainable development needs of the complex social geographic system, through the interdisciplinary innovation and integration research of multi-disciplinary technology and methods under the background of the new era, and based on digital, knowledge-based, and intelligent technology, carry out multi-disciplinary intersection and promote industrial application upgrading. Building a new knowledge system of regional sustainable development based on spatio-temporal big data, with computing science as the core, combined with new technologies such as geographic cloud, artificial intelligence, deep learning, and digital twinning, and compatible with cross-disciplinary methods such as information science, industrial ecology, and brain science. Moreover, we should carry out a case experience summary, refine the new development direction, promote the cognition and adaptive management of system complexity, and support the construction of a community with a shared future for mankind.
This Research Topic welcomes contributions on:
• Atlas representation and fusion method of social geographic system knowledge
• Construction method of meta scene sample database in social geographic system
• Construction and calculation method of social geographic system compliance index
• Temporal and spatial characteristics and expression of urban social geographic information
• Current situation and trend analysis of sustainable development evaluation of social geographic system
• Regional demonstration and verification of social geographic system sustainability
• Urban climate and human settlements
• Cropland displacement and its impact on food security
• Cropland displacement and its impact on ecosystem services
• Cropland displacement and its impact on carbon emission
• Land use modelling
• Optimize the allocation of land resources
Types of manuscripts are encouraged but not limited to original research, review, and comments.
The social geographic system showed great complexity in space and time, and its dynamics presented nonlinear changes and mutations, which might further affect the geographical scene as the basis of economic and production activities. Similarly, the organizational form, strategic path, and goal vision of industrial activities reacted to the operation and performance of the social geographic system, bring a series of socio-economic environmental effects across time and space scale, and deeply affected the governance decision-making and its effectiveness. The process of urbanization results in the loss of cropland and ecological land, which poses threats to food security and ecosystem conservation. Therefore, in view of the sustainable development of the wide extension, development, and mutual feeding of the social geographic system, how to understand the spatio-temporal characteristics and mechanism of cropland displacement as well as its impact is far-reaching meaningful in coordinating urbanization, food security, and ecosystem conservation.
Facing the sustainable development needs of the complex social geographic system, through the interdisciplinary innovation and integration research of multi-disciplinary technology and methods under the background of the new era, and based on digital, knowledge-based, and intelligent technology, carry out multi-disciplinary intersection and promote industrial application upgrading. Building a new knowledge system of regional sustainable development based on spatio-temporal big data, with computing science as the core, combined with new technologies such as geographic cloud, artificial intelligence, deep learning, and digital twinning, and compatible with cross-disciplinary methods such as information science, industrial ecology, and brain science. Moreover, we should carry out a case experience summary, refine the new development direction, promote the cognition and adaptive management of system complexity, and support the construction of a community with a shared future for mankind.
This Research Topic welcomes contributions on:
• Atlas representation and fusion method of social geographic system knowledge
• Construction method of meta scene sample database in social geographic system
• Construction and calculation method of social geographic system compliance index
• Temporal and spatial characteristics and expression of urban social geographic information
• Current situation and trend analysis of sustainable development evaluation of social geographic system
• Regional demonstration and verification of social geographic system sustainability
• Urban climate and human settlements
• Cropland displacement and its impact on food security
• Cropland displacement and its impact on ecosystem services
• Cropland displacement and its impact on carbon emission
• Land use modelling
• Optimize the allocation of land resources
Types of manuscripts are encouraged but not limited to original research, review, and comments.
