|
|
|
|
|
Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ryo Masuda and Ryo Inoue
Spatial cluster detection is one of the focus areas of spatial analysis, whose objective is the identification of clusters from spatial distributions of point events aggregated in districts with small areas. Choi et al. (2018) formulated cluster detectio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Liu, Yong Zhang, Yue Hu, Yongming Wang, Jingyi Sun and Xiaoxiao Dong
A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and anomaly detection. A hybrid clustering model was proposed to increase the efficiency of trajectory clustering in the port area and analyze the maritime traf...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min-Hsien Weng, Shaoqun Wu and Mark Dyer
With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that u...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Jiang, Jie Chen, Ye Tian and Jing Luo
Basic education resources are basic urban and rural social public security resources, and their spatial distribution is an important issue related to people?s livelihoods and social justice. Taking Wuhan as a case study, this paper analyzed the spatial d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Heping Jiang, Shijia Luo, Jiahui Qin, Ruihua Liu, Disheng Yi, Yusi Liu and Jing Zhang
The rapid development of the economy promotes the increasing of interactions between cities and forms complex networks. Many scholars have explored the structural characteristics of urban spatial interaction networks in China and have conducted spatio-te...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingying Yu, Chuanming Chen, Liping Sun and Xiaoyao Zheng
Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents? travel characteristics and the operat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniela Piacentini, Francesco Troiani, Tommaso Servizi, Olivia Nesci and Francesco Veneri
The stream length-gradient (SL) index is widely used in geomorphological studies aimed at detecting knickzones, which are extensive along-stream deviations from the typical concave-up shape assumed for stream longitudinal profiles at steady-state conditi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeinab Ghaemi and Mahdi Farnaghi
Extracting the latent knowledge from Twitter by applying spatial clustering on geotagged tweets provides the ability to discover events and their locations. DBSCAN (density-based spatial clustering of applications with noise), which has been widely used ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianfu Wang, Chang Ren, Yun Luo and Jing Tian
Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. It plays an essential role in density distribution identification, hot-spo...
ver más
|
|
|
|
|
|