Contents
2020
Volume: 22 Issue 1
12 Article(s)

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From Geographic Information System to Intelligent Geographic System
SU Fenzhen, WU Wenzhou, ZHANG Yu, KANG Lu, and LI Xiaoen
Geographical system, composed of natural and human elements, distributed in the earth's surface space, is provided with the functions of generating, maintaining or transforming material forms and energy forms, or driving the flow of material and energy. It is characterized by natural and human elements and their in
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 2 (2020)
Technology and Application of the Fusion Service of Geospatial Sensor Web
CHEN Nengcheng, XIAO Changjiang, YANG Chao, and WANG Wei
The space-air-ground-sea stereo and integrated geospatial sensor web have gradually formed along with the development of remote sensing data network, sensor web, internet of things (IoT), and artificial intelligence. The sensing resources of the geospatial sensor web are of multiple sources, heterogeneity, and dispersi
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 11 (2020)
Geometric Algebraic Modeling and Movement Behavior Analysis of the PIR Sensor Network
YUAN Linwang, YU Zhaoyuan, LUO Wen, YUAN Shuai, and ZHOU Chunye
Existing research on human behavior based on the PIR (Passive InfraRed) sensor data is limited by the spatial-temporal distribution of motion, clustering, and so on. The reconstruction of behavior trajectory and analysis of semantic features are relatively few, so it is urgent to develop new modeling and behavior analy
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 21 (2020)
The Concept and Classification of Spatial Patterns of Geographical Flow
PEI Tao, SHU Hua, GUO Sihui, SONG Ci, CHEN Jie, LIU Yaxi, and WANG Xi
Geographical flow can be defined as the movements of geographical objects between different locations, which are usually displayed as the movement of matter, information, energy and funds, e.g. the jobs-housing flow in a city, communications between different mobile phone holders and the fund transferred between differ
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 30 (2020)
Spatio-temporal Analysis Methods for Multi-modal Geographic Big Data
DENG Min, CAI Jiannan, YANG Wentao, TANG Jianbo, YANG Xuexi, LIU Qiliang, and SHI Yan
Multi-modal spatio-temporal analysis is aimed at discovering valuable knowledge about the spatio-temporal distributions, associations and revolutions underlying the multi-modal geographic big data. It is a core task of the pan-spatial information system, and is expected to facilitate the study of relationship between h
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 41 (2020)
Methods of Intelligent Computation and Pattern Mining based on Geo-parcels
LUO Jiancheng, WU Tianjun, WU Zhifeng, ZHOU Ya'nan, GAO Lijing, SUN Yingwei, WU Wei, YANG Yingpin, HU Xiaodong, ZHANG Xin, and SHEN Zhanfeng
In the era of big data, high-resolution Earth observation technologies have been able to provide the most authentic, quantitative, comprehensive-coverage, and fast-updating data about the geographic phenomena and processes on the Earth's surface. Such data provide precise spatiotemporal benchmarks of information ag
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 57 (2020)
A Tentative Study on System of Software Technology for Artificial Intelligence GIS
SONG Guanfu, LU Hao, WANG Chenliang, HU Chenpu, and HUANG Kejia
As the representative technology of Artificial Intelligence, deep learning has been the most exciting breakthrough technologies in big data analysis and other domains researches due to its novel data-driven feature representations learning, instead of handcrafting features based on domain-specific knowledge in traditio
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 76 (2020)
Anchor-Free Traffic Sign Detection
FAN Hongchao, LI Wanzhi, and ZHANG Chaoquan
Traffic signs are essential elements in High Definition (HD) maps and hence very important for vehicles in autonomous driving. Real-time and accurate detection of traffic signs from street level images is of great significance for the development of autonomous driving. Conventional algorithms detect traffic signs based
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 88 (2020)
Revealing the Behavioral Patterns of Different Socioeconomic Groups in Cities with Mobile Phone Data and House Price Data
GUAN Qingfeng, REN Shuliang, YAO Yao, LIANG Xun, ZHOU Jianfeng, YUAN Zehao, and DAI Liangyang
The spatial distribution characteristics and activity patterns of urban populations play essential roles in studies of spatial isolation, optimizing urban resource allocation, and so on. Because of the sensitivity of population activity data and socioeconomic data, previous studies focus mostly on the macro level. They
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 100 (2020)
Quantifying Spatial Accessibility of Shenzhen's Hospitals by the Isochrone Model
AI Tinghua, LEI Yingzhe, XIE Peng, and ZHOU Xiaodong
Spatial accessibility is a basic decision-making question constrained by spatial distribution situations and infrastructure conditions. The isochrone model can help address this question by applying temporal geography principles to measure by time-costs. The spatial accessibility aiming at POI facilities can be conduct
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 113 (2020)
Estimating Ground-Level PM2.5 Concentrations Across China Using Geographically Neural Network Weighted Regression
DU Zhenhong, WU Sensen, WANG Zhongyi, WANG Yuanyuan, ZHANG Feng, and LIU Renyi
China is becoming one of the most air-polluted countries and is experiencing severe PM2.5 pollution. To acquire spatially continuous PM2.5 estimates, numerous statistical methods have been developed through the integration of ground-level measurements and satellite-based observations. The estimation of PM2.5 concentrat
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 122 (2020)
Mobile Phone User Stay Behavior Prediction Method Considering Mobile APP Usage Characterization
FANG Zhixiang, NI Yaqian, and HUANG Shouqian
With the development of information and communication technology, mobile phones have become an indispensable part of human daily life. Human activities have gradually extended from real space to cyberspace. The online behavior of cyberspace in the era of mobile Internet is inseparable from the travel behavior of real s
Journal of Geo-information Science
  • Publication Date: Jan. 25, 2020
  • Vol.22 Issue, 1 136 (2020)