Spatial Form

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The Experts below are selected from a list of 264996 Experts worldwide ranked by ideXlab platform

N H March - One of the best experts on this subject based on the ideXlab platform.

Sebastien Ragot - One of the best experts on this subject based on the ideXlab platform.

Cui Jin - One of the best experts on this subject based on the ideXlab platform.

  • influences of urban Spatial Form on urban heat island effects at the community level in china
    Sustainable Cities and Society, 2020
    Co-Authors: Andong Guo, Jun Yang, Xiangming Xiao, Jianhong Xia, Cui Jin
    Abstract:

    Abstract Owing to increasing population densities and impervious surface areas, heat island effects increasingly dominate urban environments and hinder sustainable development. The urban Spatial Form plays an important role in mitigating urban heat islands. Taking Ganjingzi District, Dalian, as an example, this study considered urban Spatial Form at the community scale using Spatial autocorrelation and Spatial regression methods to explore 2003–2018 Spatial and temporal differentiation characteristics and driving factors of Land Surface Temperature (LST). The LST of each community showed a gradually increasing trend; high values (>30°C) were concentrated in central and eastern areas; low values were (

  • the impact of Spatial Form of urban architecture on the urban thermal environment a case study of the zhongshan district dalian china
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
    Co-Authors: Jun Yang, Jianhong Cecilia Xia, Cui Jin
    Abstract:

    The correlation of Spatial variation in land surface temperature with building height and density in Zhongshan District, Dalian, China, is investigated over the period 2003–2013. We utilize remote sensing data and multisource land-use data, which we evaluate using a combination of a single-window algorithm and correlation analysis. The results show that: 1) during 2003–2013, the number of high surface temperature regions increased by 4339 grid cells (out of a total of 53 601), with most of the high-temperature grid cells distributed along Jiefang Road and Zhongnan Road in the northern part of Zhongshan District. Ninety-eight percent of grid cells had temperature ranges of 293–309 K in July 2003, 296–310 K in August 2003, 295–308 K in July 2008, 296–311 K in August 2008, 305–314 K in July 2013, and 303–318 K in August 2013; 2) during 2003–2008, the number of low-rise buildings increased by 140%, and the number of multistory buildings increased by 100%. During 2008–2013, the number of buildings in all height categories remained relatively unchanged, with the exception of an 11% decrease in the number of low-rise buildings; 3) surface temperature showed weak correlation with building height (0.314, 0.346, and 0.361 in 2003, 2008, and 2013, respectively) but moderate correlation with building density (0.511, 0.533, and 0.563, respectively).

Jun Yang - One of the best experts on this subject based on the ideXlab platform.

  • influences of urban Spatial Form on urban heat island effects at the community level in china
    Sustainable Cities and Society, 2020
    Co-Authors: Andong Guo, Jun Yang, Xiangming Xiao, Jianhong Xia, Cui Jin
    Abstract:

    Abstract Owing to increasing population densities and impervious surface areas, heat island effects increasingly dominate urban environments and hinder sustainable development. The urban Spatial Form plays an important role in mitigating urban heat islands. Taking Ganjingzi District, Dalian, as an example, this study considered urban Spatial Form at the community scale using Spatial autocorrelation and Spatial regression methods to explore 2003–2018 Spatial and temporal differentiation characteristics and driving factors of Land Surface Temperature (LST). The LST of each community showed a gradually increasing trend; high values (>30°C) were concentrated in central and eastern areas; low values were (

  • the impact of Spatial Form of urban architecture on the urban thermal environment a case study of the zhongshan district dalian china
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
    Co-Authors: Jun Yang, Jianhong Cecilia Xia, Cui Jin
    Abstract:

    The correlation of Spatial variation in land surface temperature with building height and density in Zhongshan District, Dalian, China, is investigated over the period 2003–2013. We utilize remote sensing data and multisource land-use data, which we evaluate using a combination of a single-window algorithm and correlation analysis. The results show that: 1) during 2003–2013, the number of high surface temperature regions increased by 4339 grid cells (out of a total of 53 601), with most of the high-temperature grid cells distributed along Jiefang Road and Zhongnan Road in the northern part of Zhongshan District. Ninety-eight percent of grid cells had temperature ranges of 293–309 K in July 2003, 296–310 K in August 2003, 295–308 K in July 2008, 296–311 K in August 2008, 305–314 K in July 2013, and 303–318 K in August 2013; 2) during 2003–2008, the number of low-rise buildings increased by 140%, and the number of multistory buildings increased by 100%. During 2008–2013, the number of buildings in all height categories remained relatively unchanged, with the exception of an 11% decrease in the number of low-rise buildings; 3) surface temperature showed weak correlation with building height (0.314, 0.346, and 0.361 in 2003, 2008, and 2013, respectively) but moderate correlation with building density (0.511, 0.533, and 0.563, respectively).

Angel Rubio - One of the best experts on this subject based on the ideXlab platform.