Comparison of Vector/Raster Estimation Methods for Urban Sky View Factor

doi:10.7522/j.issn.1000-694X.2017.00021

JOURNAL OF DESERT RESEARCH ›› 2017, Vol. 37 ›› Issue (4): 811-819.DOI: 10.7522/j.issn.1000-694X.2017.00021

Comparison of Vector/Raster Estimation Methods for Urban Sky View Factor

Li Mengxi¹, Qiu Xinfa², Zeng Yan³, Zhu Shanyou¹

1. School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China;
3. Jiangsu Climate Center, Nanjing 210009, China

Received:2016-12-30 Revised:2017-03-14 Online:2017-07-20 Published:2017-07-20

Abstract

Abstract: Urban Sky View Factor (SVF) is one of the most important urban morphological parameters.In order to find an efficient and reliable method to quantitatively analyze the distribution of urban SVF,the performance of vector method and raster method in estimating and mapping urban SVF had been compared.Taking Jinjiang City of Fujian Province as an example,the vector and raster calculation method in the software calculation method has been chosen to estimate the SVF.The results has been compared and analyzed in the macroscopic distribution,numerical differences of different methods and consistency at different resolution.It is found that the macroscopic distribution trend of SVF calculated with both vector and raster method are consistent,and the higher the resolution is,the more similar the results of two methods are.The results of vector method are more reasonable than those of the raster method,and the consistency of results under different resolutions is higher than that of the raster method.Compare to raster estimation method,vector SVF estimation method is more suitable for the need of quantitative analysis and mapping of SVF at high resolution.However,in low resolution cases,the representatives of results directly estimated from both methods are extremely low.

Key words: Sky View Factor (SVF), Building distribution data, urban morphological parameters, urban microclimate, Jinjiang

CLC Number:

TU984.11

Li Mengxi, Qiu Xinfa, Zeng Yan, Zhu Shanyou. Comparison of Vector/Raster Estimation Methods for Urban Sky View Factor[J]. JOURNAL OF DESERT RESEARCH, 2017, 37(4): 811-819.

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Comparison of Vector/Raster Estimation Methods for Urban Sky View Factor

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