为了探索城市住宅用途基准地价的空间形态复杂性与多维度空间可视化表达，采集武汉市中心城区的住宅用途基准地价数据，利用数字高程模型与基于地理信息系统（geographic information system，GIS）的探索性空间分析，实现以基准地价为...为了探索城市住宅用途基准地价的空间形态复杂性与多维度空间可视化表达，采集武汉市中心城区的住宅用途基准地价数据，利用数字高程模型与基于地理信息系统（geographic information system，GIS）的探索性空间分析，实现以基准地价为代理变量来更好地理解城市空间特征与空间结构。结果表明：反距离加权法更适合基准地价“层级梯田状”空间形态的表达；地理中心与“到中心的距离”作为刻画空间的经典变量仍具有不可替代的作用；各侧视角的空间形态与“价格天际线”、从内到外沿环线土地价格分布变化、各典型方向价格拟合曲线反映的梯度都呈现出明显的“中心-边缘”各圈层逐渐下降的趋势，以及城市各扇区间的空间异质性；坡度与坡向特征也进一步印证了土地基准地价高层模型“梯田型”与“环状放射型”的空间形态。展开更多
As China’s economy and society continue to expand,urbanization in China has reached a new stage.In this context,China’s characteristic town development plans,from the national to the local level,provide a new impetu...As China’s economy and society continue to expand,urbanization in China has reached a new stage.In this context,China’s characteristic town development plans,from the national to the local level,provide a new impetus for the expansion of towns and cities,and contribute to rural revitalization.When assessing the universality of regional dynamics,China exhibits high diversity for regional development.This highlights a complex scientific problem associated with describing the underlying linkages and influencing variables between distinct regional characteristic towns.It also complicates the application of tools that support spatial orientation and spatial decision-making.To address this problem,this study proposes a cross-platform analytical framework that unifies data,geography information systems(GIS),unsupervised analysis,visualization,and Geodetector,with Orange as the core.Based on a review of distribution patterns and multi-hierarchical spatial clustering features,this paper focuses on the rise of characteristic towns in China and investigates the primary environmental and human factors influencing spatial heterogeneity in small towns.The findings show that the development level of characteristic towns under the“city-town”system varies across China.Multi-hierarchical cluster analysis effectively reveals the intrinsic features of characteristic towns and facilitates precise spatially-oriented decision-making under different scenarios.In the framework of the“natural-humanistic”and“city-town”systems,the Geodetector effectively measures the spatial stratified heterogeneity of each indicator in the characteristic towns.This reveals an inner logic among the diverse non-linear spatial correlations.Ultimately,the study deeply investigates the individual development of characteristic towns,and the synergistic construction of“city-town”systems,arguing that characteristic towns have the potential to create“city-town”interactive spaces,and the ability to realize“Orange+GIS”cross-platform synerg展开更多
文摘为了探索城市住宅用途基准地价的空间形态复杂性与多维度空间可视化表达，采集武汉市中心城区的住宅用途基准地价数据，利用数字高程模型与基于地理信息系统（geographic information system，GIS）的探索性空间分析，实现以基准地价为代理变量来更好地理解城市空间特征与空间结构。结果表明：反距离加权法更适合基准地价“层级梯田状”空间形态的表达；地理中心与“到中心的距离”作为刻画空间的经典变量仍具有不可替代的作用；各侧视角的空间形态与“价格天际线”、从内到外沿环线土地价格分布变化、各典型方向价格拟合曲线反映的梯度都呈现出明显的“中心-边缘”各圈层逐渐下降的趋势，以及城市各扇区间的空间异质性；坡度与坡向特征也进一步印证了土地基准地价高层模型“梯田型”与“环状放射型”的空间形态。
基金National Natural Science Foundation of China,No.72174071,No.71774066。
文摘As China’s economy and society continue to expand,urbanization in China has reached a new stage.In this context,China’s characteristic town development plans,from the national to the local level,provide a new impetus for the expansion of towns and cities,and contribute to rural revitalization.When assessing the universality of regional dynamics,China exhibits high diversity for regional development.This highlights a complex scientific problem associated with describing the underlying linkages and influencing variables between distinct regional characteristic towns.It also complicates the application of tools that support spatial orientation and spatial decision-making.To address this problem,this study proposes a cross-platform analytical framework that unifies data,geography information systems(GIS),unsupervised analysis,visualization,and Geodetector,with Orange as the core.Based on a review of distribution patterns and multi-hierarchical spatial clustering features,this paper focuses on the rise of characteristic towns in China and investigates the primary environmental and human factors influencing spatial heterogeneity in small towns.The findings show that the development level of characteristic towns under the“city-town”system varies across China.Multi-hierarchical cluster analysis effectively reveals the intrinsic features of characteristic towns and facilitates precise spatially-oriented decision-making under different scenarios.In the framework of the“natural-humanistic”and“city-town”systems,the Geodetector effectively measures the spatial stratified heterogeneity of each indicator in the characteristic towns.This reveals an inner logic among the diverse non-linear spatial correlations.Ultimately,the study deeply investigates the individual development of characteristic towns,and the synergistic construction of“city-town”systems,arguing that characteristic towns have the potential to create“city-town”interactive spaces,and the ability to realize“Orange+GIS”cross-platform synerg
