论文笔记4:GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong

本研究采用GIS技术对香港高密度城市进行本地气候区(LCZ)分类,通过分析建筑高度、表面比例、天际视域、地表覆盖类型等指标,揭示了城市形态对局部气候的影响。使用Kolmogorov-Smirnov测试评估不同地理区域对LCZ分类标准的统计影响。

GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong

urban morphology analysis maps

Method

Data

Building data:building footprint,building height
Street data
Topography data
Land use data 15 m-resolution
Remote sensing images

Analysis of spatial autocorrelation

Spatial autocorrelation reveals the geographical phenomenon that things closer display more similarity than those further away

确定grid大小

Kolmogorov–Smirnov test

Kolmogorov–Smirnov test (K-S test) is a nonparametric test to examine whether two datasets differentiate significantly.

to determine if different geolocations of the raster grid system influence the statistics of LCZ classification criteria

GIS-based LCZ classification and urban geometric analysis

Development of land surface analysis maps for LCZ classification

Building height (BH) map

Building height is mean building height of an LCZ grid, weighted with the footprint area of buildings.

Building surface fraction (BSF) map

compact or open

Sky view factor (SVF) map

Aspect ratio/height width ratio (H/W) map

Pervious surface fraction (PSF) map

Impervious surface fraction (ISF) map

Land use (LU) map

在这里插入图片描述
在这里插入图片描述

the BH map and BSF map were used to identify the building-type LCZ classes
seven land cover types have been classified according to the dominant land cover types
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述

评论 1
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值