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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Main Authors: Kun Qi, Chengqi Cheng, Yi’na Hu, Huaqiang Fang, Yan Ji, Bo Chen
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
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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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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