Spatial DI&S Lab @ Wuhan University
- 43 followers
- Wuhan, Hubei, China
- zhipeng.gui@gmail.com
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ClusteringDirectionCentrality
ClusteringDirectionCentrality PublicA novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between i…
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Human-Mobility-Analysis
Human-Mobility-Analysis PublicA toolkit and models for individual and crowd level human mobility analysis based on trajectory data, including travel destination prediction, travel spatiotemporal and semantic features calculatio…
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Spark-based-Ripley-K-Functions
Spark-based-Ripley-K-Functions PublicA visual analytics framework for Distributed Ripley's K functions based on Apache Spark, including Space K function, Space-Time K function, Local K function and Cross K function. This framework con…
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gtwr-compute-platform
gtwr-compute-platform Public基于Vue.js, Echarts, Leaflet与Java Servlet实现的GTWR在线计算平台，支持原始计算数据预览、自定义计算参数进行GWR和GTWR计算，以及计算结果的评定
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Spark-based-DBSCAN-Algorithms
Spark-based-DBSCAN-Algorithms PublicA parallel algorithm package for DBSCAN based on Apache Spark, including KDBSCAN, KDSG and other optimized DBSCAN algorithms. This framework consists of three parts, i.e., front-end web visualizati…
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OGC-WMS-Discovery-Portal
OGC-WMS-Discovery-Portal PublicA developing project to establish a geospatial web portal exclusively for discovering OGC Web Map Services by using multimodal or cross-modal retrieval technologies.
Repositories
- Human-Mobility-Analysis Public
A toolkit and models for individual and crowd level human mobility analysis based on trajectory data, including travel destination prediction, travel spatiotemporal and semantic features calculations (e.g., entropy, radius of gyration, motif ratio, travel rhythm, etc), driving characters and dispositions.
ZPGuiGroupWhu/Human-Mobility-Analysis’s past year of commit activity - ClusteringDirectionCentrality Public
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
ZPGuiGroupWhu/ClusteringDirectionCentrality’s past year of commit activity - MeanCut-Clustering Public
A novel spectral clustering algorithm based on path similarity and degree descent criterion
ZPGuiGroupWhu/MeanCut-Clustering’s past year of commit activity - CDC-Introduction-Website Public
ZPGuiGroupWhu/CDC-Introduction-Website’s past year of commit activity
