西安市文化设施的空间集聚特征及影响因素分析——倡导高效化还是侧重均等化？

摘要选取 2019 年文化设施 POI 数据，采用标准差椭圆分析、最邻近指数和核密度估计相结合的方法，首先测度了西安市文化设施的空间集聚特征，进一步基于区位选址理论，结合空间权重矩阵的思想，对比分析了高效化要素和均等化要素对西安市文化设施集聚空间的影响。研究发现 ：第一，西安市文化设施呈较为明显的空

A global North-South division line for portraying urban development

SUMMARYRapid urbanization has tremendously changed the global landscape with profound impacts on our society. Nighttime light (NTL) data can provide v

基于路网数据和复杂图论的中国城市交通布局评价

摘要城市化的快速发展推动了我国城市道路网的不断扩张和发展。城市道路网是一个动态、开放、自组织的空间复杂网络，构成了城市的结构框架，研究城市道路网的结构特征对路网规划和城市建设有着重要的应用价值。在国内城市道路网络结构特征的相关研究中，很少有学者基于道路走向的视角对整个城市路网结构进行研究，也缺少对全

cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using GPU

AbstractSpatiotemporal data fusion is a cost-effective way to produce remote sensing images with high spatial and temporal resolutions using multisour

Discovering the homogeneous geographic domain of human perceptions from street view images

AbstractHuman perception of place refers to residents’ psychological feelings about urban areas. Many studies of human perceptions have focused on a s

Perceived influence of street greenness in work and residential environment on life satisfaction

AbstractSensing urban greenness from street view data offers a new and alternative way of measuring the association between greenness exposure and su

Modeling the dynamics and walking accessibility of urban open spaces under various policy scenarios

AbstractOpen spaces (OSs) in urban areas play a vital role in providing space for habitat conservation and recreation, improving the mental health of

Delineating urban job-housing patterns at a parcel scale with street view imagery

AbstractEmpirical data are limited to decipher where people live and work in large cities; however, neighborhood information, such as street view imag

A comparison of two deep-learning-based urban perception models which one is better?

AbstractUrban perception is a hot topic in current urban study and plays a positive role in urban planning and design. At present, there are two metho

Extracting the Tailings Ponds From HSR Remote Sensing Images by Deep Learning‐Based Model

AbstractDue to a lack of data and practical models, few studies have extracted tailings pond margins in large areas. In addition, there is no public d