An Improved Identification Code for City Components Based on Discrete Global Grid System
City components are important elements of a city, and their identification plays a key role in digital city management. Various identification codes have been proposed by different departments and systems over the years, however, their application has been partly hindered by the lack of a unified co...
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MDPI AG
2017-11-01
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Series: | ISPRS International Journal of Geo-Information |
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Online Access: | https://www.mdpi.com/2220-9964/6/12/381 |
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author | Kun Qi Chengqi Cheng Yi’na Hu Huaqiang Fang Yan Ji Bo Chen |
author_facet | Kun Qi Chengqi Cheng Yi’na Hu Huaqiang Fang Yan Ji Bo Chen |
author_sort | Kun Qi |
collection | DOAJ |
description | City components are important elements of a city, and their identification plays a key role in digital city management. Various identification codes have been proposed by different departments and systems over the years, however, their application has been partly hindered by the lack of a unified coding framework. The use of a code identifying a city component for unified management and geospatial computation across systems is still problematic. In this paper, we put forward an improved identification code for city components based on the discrete global grid system (DGGS). According to their spatial location, city components were identified with one-dimensional integer codes. The results illustrated that this identification code could express the location information of city components explicitly, as well as indicate the spatial distance relationship and the spatial direction relationship between different components. The experiment showed that this code performed better than traditional codes in data query and geospatial computation. Therefore, we concluded that this improved identification code was conducive to the more efficient management of city components, and hence might be used to improve digital city management. |
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format | Article |
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institution | Directory Open Access Journal |
issn | 2220-9964 |
language | English |
last_indexed | 2024-12-21T21:25:41Z |
publishDate | 2017-11-01 |
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series | ISPRS International Journal of Geo-Information |
spelling | doaj.art-65054d64c89a423db48c9b5ac65eadad2022-12-21T18:49:46ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-11-0161238110.3390/ijgi6120381ijgi6120381An Improved Identification Code for City Components Based on Discrete Global Grid SystemKun Qi0Chengqi Cheng1Yi’na Hu2Huaqiang Fang3Yan Ji4Bo Chen5College of Engineering, Peking University, Beijing 100871, ChinaCollege of Engineering, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Engineering, Peking University, Beijing 100871, ChinaBeijing Remote Sensing Information Institute, Beijing 100192, ChinaCollege of Engineering, Peking University, Beijing 100871, ChinaCity components are important elements of a city, and their identification plays a key role in digital city management. Various identification codes have been proposed by different departments and systems over the years, however, their application has been partly hindered by the lack of a unified coding framework. The use of a code identifying a city component for unified management and geospatial computation across systems is still problematic. In this paper, we put forward an improved identification code for city components based on the discrete global grid system (DGGS). According to their spatial location, city components were identified with one-dimensional integer codes. The results illustrated that this identification code could express the location information of city components explicitly, as well as indicate the spatial distance relationship and the spatial direction relationship between different components. The experiment showed that this code performed better than traditional codes in data query and geospatial computation. Therefore, we concluded that this improved identification code was conducive to the more efficient management of city components, and hence might be used to improve digital city management.https://www.mdpi.com/2220-9964/6/12/381locationcity componentidentification codediscrete global grid systemgeospatial computation |
spellingShingle | Kun Qi Chengqi Cheng Yi’na Hu Huaqiang Fang Yan Ji Bo Chen An Improved Identification Code for City Components Based on Discrete Global Grid System ISPRS International Journal of Geo-Information location city component identification code discrete global grid system geospatial computation |
title | An Improved Identification Code for City Components Based on Discrete Global Grid System |
title_full | An Improved Identification Code for City Components Based on Discrete Global Grid System |
title_fullStr | An Improved Identification Code for City Components Based on Discrete Global Grid System |
title_full_unstemmed | An Improved Identification Code for City Components Based on Discrete Global Grid System |
title_short | An Improved Identification Code for City Components Based on Discrete Global Grid System |
title_sort | improved identification code for city components based on discrete global grid system |
topic | location city component identification code discrete global grid system geospatial computation |
url | https://www.mdpi.com/2220-9964/6/12/381 |
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