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Yizhao Gao

Biographic Data

ID3635394
NAMEYizhao Gao
GIVEN NAMESYizhao
FAMILY NAMEGao
SIGNATUREGAO Y
AFFILIATIONSUniversity of Illinois Urbana-Champaign
ORCID0000-0002-4564-3646
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • An urban informatics approach to understanding residential mobility in Metro Chicago

    Open Access•Haozhi Pan, Si Chen et al.•ARTICLE•Environment and Planning B Urban…•2020

    This paper proposes that urban informatics can represent a flow of information from diverse and voluminous data into and back from the planning process. We present a proof-of-concept of how an urban informatics approach can improve public understanding of essential information in the planning process, and we propose a theoretical construct of how it can make planning processes more democratic and participatory, especially for disadvantaged groups…

  • Escip

    Ting Li, Yizhao Gao et al.•ARTICLE•Annals of the American…•2020•References: 49

    Detecting irregularly shaped spatial clusters within heterogeneous point processes is challenging because the number of potential clusters with different sizes and shapes can be enormous. This research develops a novel method, expansion-based spatial clustering for inhomogeneous point processes (ESCIP), for detecting spatial clusters of any shape within a heterogeneous point process in the context of analyzing spatial big data. Statistical testin…

No prominent works on this page.

  • An urban informatics approach to understanding residential mobility in Metro Chicago

    Open Access•Haozhi Pan, Si Chen et al.•ARTICLE•Environment and Planning B Urban…•2020

    This paper proposes that urban informatics can represent a flow of information from diverse and voluminous data into and back from the planning process. We present a proof-of-concept of how an urban informatics approach can improve public understanding of essential information in the planning process, and we propose a theoretical construct of how it can make planning processes more democratic and participatory, especially for disadvantaged groups…

  • Escip

    Ting Li, Yizhao Gao et al.•ARTICLE•Annals of the American…•2020•References: 49

    Detecting irregularly shaped spatial clusters within heterogeneous point processes is challenging because the number of potential clusters with different sizes and shapes can be enormous. This research develops a novel method, expansion-based spatial clustering for inhomogeneous point processes (ESCIP), for detecting spatial clusters of any shape within a heterogeneous point process in the context of analyzing spatial big data. Statistical testin…

Computer Science (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Cartography (1 work) · Citizen journalism (1 work) · Cluster analysis (1 work) · Data mining (1 work) · Data science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae