The visualization and analysis of POI features under network space supported by kernel density estimation

被引：0
|
作者：
Yu, Wenhao [1 ]
Ai, Tinghua [1 ]
机构：
[1] School of Resources and Environmental Science, Wuhan University, Wuhan,430079, China
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2015年 / 44卷 / 01期
关键词：
D O I：
10.11947/j.AGCS.2015.20130538
中图分类号：
学科分类号：
摘要：
24
引用
收藏
页码：82 / 90
相关论文
共 50 条
  • [41] A model for dynamic object segmentation with kernel density estimation based on gradient features
    Li, Zheng
    Jiang, Pohuang
    Ma, Hong
    Yang, Jian
    Tang, DongMing
    IMAGE AND VISION COMPUTING, 2009, 27 (06) : 817 - 823
  • [42] Kernel estimation for a superpopulation probability density function under informative selection
    Bonnéry D.
    Breidt F.J.
    Coquet F.
    METRON, 2017, 75 (3) : 301 - 318
  • [43] GIS-BASED ANALYSIS TO DETECT ROAD ACCIDENT HOTSPOTS USING NETWORK KERNEL DENSITY ESTIMATION
    Pleerux, Narong
    SURANAREE JOURNAL OF SCIENCE AND TECHNOLOGY, 2021, 28 (04):
  • [44] Particle-kernel estimation of the filter density in state-space models
    Crisan, Dan
    Miguez, Joaquin
    BERNOULLI, 2014, 20 (04) : 1879 - 1929
  • [45] Monitoring of a machining process using kernel principal component analysis and kernel density estimation
    Wo Jae Lee
    Gamini P. Mendis
    Matthew J. Triebe
    John W. Sutherland
    Journal of Intelligent Manufacturing, 2020, 31 : 1175 - 1189
  • [46] Monitoring of a machining process using kernel principal component analysis and kernel density estimation
    Lee, Wo Jae
    Mendis, Gamini P.
    Triebe, Matthew J.
    Sutherland, John W.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 31 (05) : 1175 - 1189
  • [47] Exploratory orientation data analysis: kernel density estimation and clustering
    Schaeben, H.
    1600, Trans Tech Publ, Aedermannsdorf, Switzerland (157-6):
  • [48] Adaptive Independent Component Analysis by Modified Kernel Density Estimation
    Xue, Yunfeng
    Wang, Yujia
    Han, Yujie
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, 2010, 6215 : 230 - +
  • [49] Crowd analysis using Bayesian Risk Kernel Density Estimation
    Razavi, Mahnaz
    Yazdi, Hadi Sadoghi
    Taherinia, Amir Hossein
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 82 : 282 - 293
  • [50] Bandwidth Selection of Kernel Density Estimation for GIS-based Crime Occurrence Map Visualization
    Kim, Yongjin
    Kim, Gyeongdeok
    Lee, Yongtae
    Jang, Kwangho
    11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, : 1705 - 1708
12345