129 research outputs found

    How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View - Fig 5

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    <p>Spatial distribution of the average street GVI of each city (a) and the four types of cities classified (b).</p

    Statistical descriptions for locations, street segments, and blocks in the street GVI for the 131 valid cities.

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    <p>Statistical descriptions for locations, street segments, and blocks in the street GVI for the 131 valid cities.</p

    Street GVI for typical cities.

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    <p>Note that only street segments and blocks that follow the definition in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0171110#pone.0171110.t002" target="_blank">Table 2</a> are mapped in the figure.</p

    Regression results for location-level street GVI.

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    <p>Regression results for location-level street GVI.</p

    Our method versus that of Li et al. [4].

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    <p>Our method versus that of Li et al. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0171110#pone.0171110.ref004" target="_blank">4</a>].</p

    Parameters for the SVP crawling API.

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    <p>Parameters for the SVP crawling API.</p

    Roads/streets of the study area in Beijing in 2014.

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    <p>Roads/streets of the study area in Beijing in 2014.</p

    Process for simplifying street segments.

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    <p>Process for simplifying street segments.</p

    The 245 cities at or above the prefecture level with street-view service in China.

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    <p>The 245 cities at or above the prefecture level with street-view service in China.</p

    Framework for analyzing street greenery in a typical area (SVP = street view picture).

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    <p>Framework for analyzing street greenery in a typical area (SVP = street view picture).</p
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