Simulating cross-sectional geometry of the main channel in response to changes in water and sediment in Lower Yellow River

Journal of Geographical Sciences - To understand the non-equilibrium morphological adjustment of a river in response to environmental changes, it is essential to (i) accurately identify how past...     

Building national eco-cultural protection areas and the Xiangxi practice in Hunan Province

Journal of Geographical Sciences - Since 2007, the Chinese government has initiated the building of national eco-cultural protection areas (NECPAs), thereby embarking on a significant...     

Spatiotemporal analysis of COVID-19 risk in Guangdong Province based on population migration

Journal of Geographical Sciences - Population migration, especially population inflow from epidemic areas, is a key source of the risk related to the coronavirus disease 2019 (COVID-19) epidemic....     

Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds

ABSTRACT

Visibility determination is a key requirement in a wide range of national and urban applications, such as national security, landscape management, and urban design. Mobile LiDAR point clouds can depict the urban built environment with a high level of details and accuracy. However, few three-dimensional visibility approaches have been developed for the street-level point-cloud data. Accordingly, an approach based on mobile LiDAR point clouds has been developed to map the three-dimensional visibility at the street level. The method consists of five steps: voxelization of point-cloud data, construction of lines-of-sight, construction of sectors of sight, construction of three-dimensional visible space, and calculation of volume index. The proposed approach is able to automatically measure the volume of visible space and openness at any viewpoint along a street. This approach has been applied to three study areas. The results indicated that the proposed approach enables accurate simulation of visible space as well as high-resolution (1 m × 1 m) mapping of the visible volume index. The proposed approach can make a contribution to the improvement of urban planning and design processes that aim at developing more sustainable built environments.     

Small‐area patch‐merging method accounting for both local constraints and the overall area balance

Small‐area patch merging is a common operation in land use data generalization. However, existing research on small‐area patch merging has mainly focused on local compatibility measures, which often lead to area imbalances among land use types from a global perspective. To address the shortcomings of previous studies by resolving local and global concerns simultaneously, this article proposes a merging method that considers both local constraints and the overall area balance. First, a local optimization model that considers three constraints—namely, the areas of neighboring patches, the lengths of shared arcs, and semantic similarity—is established. The areas of small patches are first pre‐allocated. Subsequently, in accordance with an area change threshold for individual land use types, land use types with area changes that exceed this threshold are identified. The patches corresponding to these land use types are subjected to iterative adjustments while considering the overall area balance. Based on their area splitting abilities, the split lines for small‐area patches are determined, and small‐area patches are merged. Finally, actual data from Guangdong Province are used for validation. The experimental results demonstrate that the proposed method is capable of preserving the local compatibility of patches while balancing the overall area associated with each land use type.     

Tile‐based polygon overlay of vector data in a virtual globe

The demand for analysis of large‐scale data has increased with increased access to spatial vector data. Polygon overlay of vector data in a virtual globe requires proprietary data structures and proprietary analysis algorithms. A vector data structure is designed for rapid polygon overlay in a virtual globe by recording the metadata of the triangles (TriMeta) that constitute polygons. A polygon overlay algorithm is proposed based on this data structure. The overlay of two complex GIS polygons is transformed into the intersection computation of their 3D triangular presentations. The intersection computation of two sets of triangles is reduced considerably by utilizing TriMeta to filter out the disjoint triangle pairs and rapidly identify the contained triangle. The new method improves the overlay efficiency in a virtual globe because the amount of computation required to calculate the intersections of two large polygons and drape the intersections onto a terrain surface is reduced.     

中国工业烟粉尘排放时空演化及其影响因素

采用空间分析和空间杜宾模型等方法,研究1999—2017年中国工业烟粉尘排放时空演化特征及其影响因素。结果表明：① 中国工业烟粉尘排放空间分布差异明显,其排放的基尼系数和污染物分布指数均呈现下降态势,空间集中程度有所缓和。② 中国工业烟粉尘排放空间分布呈东北?西南走向,其排放中心不断由东南向西北方向迁移。③ 中国工业烟粉尘排放存在空间相关性和空间溢出效应,其冷热点区空间分布发生显著变化。④ 能源消耗、第二产业比重、人口密度和经济发展水平的提升将会增加工业烟粉尘排放,而外资水平、治理技术水平和环境规制力度的提升则有利于减少工业烟粉尘排放。     

2000—2015年中国高学历人才分布格局及其影响机制

基于2000年、2010年中国人口普查分地级及以上行政区数据和2015年中国各省份1%人口抽样调查数据,采用变异系数、泰尔系数、基尼系数测度中国高学历人才比重分布的空间不均衡程度,并采用面板数据Tobit随机效应模型,识别影响高学历人才比重空间分布的主要因素。结果表明：① 中国的人才比重分布表现出极大的不均衡性,人才比重的高低与城市等级密切相关,主要表现在直辖市、省会城市、计划单列市等行政区吸引了大量人才,而普通地级城市人才比重相对较低;② 10 a间人才比重的变异系数、基尼指数和泰尔指数均有所下降,表明人才比重分布的空间不均衡程度有所下降;③ 平均工资水平、生活成本、城市等级、每万人高校在校学生数、每万人医院卫生院床位数、人均科学事业、教育事业经费与人才比重呈正相关,中学生师比、万人互联网用户数与人才比重呈负相关,失业率、单位面积二氧化硫排放量、绿地率对人才比重没有影响。     

基于大数据的上海中心城区建成环境与城市活力关系分析

运用大众点评数据、出租车到达数据与文化设施POI数据测度城市活力的经济、社会和文化维度,在街区和街道层面分析城市活力的空间结构特征,建立计量模型分析城市建成环境对城市活力的影响关系。结果表明：①上海中心城区城市活力表现出明显的空间差异,主要表现为由中心向四周递减、浦西优于浦东的总体特征;②街区和街道尺度影响城市活力的建成环境因素存在差异;③街区尺度建成环境对城市社会、经济和文化活力的影响存在差异：提升人口密度对经济活力具有正面影响,过高的人口密度可能不利于社会和文化活力发展;增加POI密度、路网密度和POI混合度有利于城市活力的提升;建筑层数和建筑密度的增加会降低街区的社会活力和文化活力,但会提升街区的经济活力;交通可达性有利于经济活力的提升。