
Research on Spatial and Temporal Pattern Evolution of Large Color Steel Building in Yinchuan
Author(s) -
He Song,
Shuwen Yang,
Liya Gao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/693/1/012113
Subject(s) - economies of agglomeration , spatial distribution , cluster analysis , ellipse , cluster (spacecraft) , common spatial pattern , kernel density estimation , kernel (algebra) , distribution (mathematics) , geography , spatial analysis , economic geography , computer science , artificial intelligence , geometry , mathematics , statistics , engineering , remote sensing , mathematical analysis , combinatorics , chemical engineering , estimator , programming language
Based on the large color steel building data of Yinchuan in 2005, 2010, 2015 and 2019, this paper uses standard deviation ellipse, kernel density estimation, nearest neighbor index and multi-distance spatial clustering method to explore the clustering characteristics and spatial-temporal pattern evolution of large color steel building in Yinchuan. The results show that :(1) from 2005 to 2019, the spatial distribution direction of large color steel building in yinchuan presents a stable “northwest to southeast” direction, and the center of gravity has been shifted to the southwest, with the transfer distance becoming smaller and smaller.(2) With 4 national and provincial industrial parks as the core cluster areas, the cluster features are obvious. As time goes on, it spreads to the periphery and tends to stabilize.(3) All the four periods presented condensed distribution and gradually weakened agglomeration. In 2010, the agglomeration intensity and agglomeration scope reached the peak, which were significantly improved compared with 2005, but they were roughly the same and gradually weakened after 2015.