Evaluating the effect of 3D urban form on neighborhood land surface temperature using Google Street View and geographically weighted regression-Reference-Cited by-同舟云学术

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Evaluating the effect of 3D urban form on neighborhood land surface temperature using Google Street View and geographically weighted regression

Published:2019-03-12 Issue:3 Volume:34 Page:681-697
ISSN:0921-2973
Container-title:Landscape Ecology
language:en
Short-container-title:Landscape Ecol

Author:

Zhang Yujia^ORCID,Middel Ariane,Turner B. L.

Funder

National Science Foundation

Agricultural Research Service

Technische Universität Braunschweig

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Ecology,Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1007/s10980-019-00794-y.pdf

Reference64 articles.

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2. Boone CG, Cadenasso ML, Grove JM, Schwarz K, Buckley GL (2010) Landscape, vegetation characteristics, and group identity in an urban and suburban watershed: why the 60s matter. Urban Ecosyst 13(3):255–271

3. Brazel A, Selover N, Vose R, Heisler G (2000) The tale of two climates Baltimore and Phoenix urban LTER sites. Climate Res 15(2):123–135

4. Buyantuyev A, Wu J (2010) Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape Ecol 25(1):17–33

5. Cai H, Xu X (2017) Impacts of built-up area expansion in 2D and 3D on regional surface temperature. Sustainability 9(10):1862

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