Study on the Influence of Urban Factors on Land Surface Temperature in Xi'an Based on Support Vector Machine

LI Ming-zhe; ZHOU Qing; YANG Yan

doi:10.13655/j.cnki.ibci.2023.11.003

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Study on the Influence of Urban Factors on Land Surface Temperature in Xi'an Based on Support Vector Machine

更新时间：2023-11-17

- Study on the Influence of Urban Factors on Land Surface Temperature in Xi'an Based on Support Vector Machine
- Issue 11, Pages: 13-15(2023)
- 作者机构：
  
  1.天津城建大学建筑学院
- 作者简介：
- 基金信息：
- DOI：10.13655/j.cnki.ibci.2023.11.003
  CLC：
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LI Ming-zhe, ZHOU Qing, YANG Yan. Study on the Influence of Urban Factors on Land Surface Temperature in Xi'an Based on Support Vector Machine. [J]. (11):13-15(2023)
DOI：

LI Ming-zhe, ZHOU Qing, YANG Yan. Study on the Influence of Urban Factors on Land Surface Temperature in Xi'an Based on Support Vector Machine. [J]. (11):13-15(2023) DOI： 10.13655/j.cnki.ibci.2023.11.003.

摘要

囿于计算机技术和统计方法的局限，以往城市要素对地表温度的影响均是通过线性算法估计，未能更精确的描述地表温度随城市要素变化的趋势。文中采用支持向量机算法对6个城市要素指标进行统计分析，得到城市要素指标地表温度影响的重要性排序同时可预测城市地表温度。

Abstract

Due to the limitations of computer technology and statistical methods, the impact of urban factors on land surface temperature in the past was estimated by linear algorithms, which failed to describe the trend of land surface temperature changes with urban factors more accurately. In this paper, the support vector machine algorithm is used to carry out statistical analysis on six urban factor indicators, and the importance order of the impact of urban factor indicators on the land surface temperature can be obtained. At the same time, the urban land surface temperature can be predicted.

关键词

地表温度城市要素支持向量机西安

Keywords

land surface temperatureurban factorssupport vector machineXi'an

references

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