research-article

Research on Urban Expansion Methods Based on Lacunarity Index

Authors:

Kun ZhangAuthors Info & Claims

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

Pages 93 - 98

https://doi.org/10.1145/3318236.3318237

Published: 15 March 2019 Publication History

Abstract

The problem of urban expansion is an important part of urban development, the domestic research methods were summarized and analyzed. The study found that existing methods can be divided into exponential changes, land use changes and monitoring simulations. However, the research results of existing methods are homogenized. In this study, the gap index model was established and Kunming and Yuxi were taken as examples to systematically introduce the gap index to calculate urban expansion. The study found that the global gap index can better describe the urban expansion characteristics and can explain the heterogeneity between urban land use by scale shifting; The local clearance index can not only describe the urban expansion characteristics, but also analyze the urban expansion direction and expansion trend in detail to describe the spatial pattern change of urban expansion. The application of the gap index in urban expansion has a very good reference for future urban expansion research.

References

[1]

Xie, W.B., Qing, X., He, C.Y. 2017. Urban expansion modes and regional ecological footprints in the Shandong Peninsula Urban Agglomeration. Acta Ecologica Sinica. 37, 03(Mar, 2017), 969--978.

[2]

Xiao, L., Tian, G. J. 2014. Study on Spatial Modes and Driving Mechanisms of Tianjin's Urban Expansion. Resources Science. 36, 07(July, 2014), 1327--1335.

[3]

Shen, F., Yuan, J., Huang W.W., Zha, L.S. 2015. Analysis on spatiotemporal characteristics and driving forces of Hefei urban expansion based on geo- informatic map. Resources and Environment in the Yangtze Basin. 24, 02(Feb, 2015), 202--211.

[4]

Yao, Y.L., Liu P.X., Chen, L.L., Lu, L.P. 2013. Urban Expansion Analysis of Hefei City in the Last 30 Years by Using Remote Sensing. Economic Geography. 33, 09(Sep, 2013), 65--72.

[5]

Huang, Q.X., He, C.Y., Shi, P.J., Zhao, Y.Y., Yang, Y., Liu, H.Y. 2009. Understanding multi-scale urban expansion driving forces: in the case study of Beijing. Economic Geography. 29, 05(May, 2009), 714--721.

[6]

Li, S., Luo, X.Q. 2014. Study on Spatiotemporal Expansion Feature of Urban Based on Multisource Data Using Remote Sensing Technique in Guiyang City in the Lasted 700 Years. Journal of Natural Resources. 29, 10(Oct, 2014), 1734--1745.

[7]

Shi, L.F., Zhang, Z.X., Liu, F., Zhao, X.L., Liu, B., Xu, J.Y., Hu, S.G. 2015. Spatial expansion remote sensing monitoring of special economic zones from 1973 to 2013.journal of remote sensing. 19, 06(June, 2015), 1030--1039.

[8]

Qiao, W.F., Mao, G.X., Wang, Y.H., Chen, Y.J. 2016. Research on Urban Expansion and Land Use Change in Nanjing over the Past 32 Years. Journal of Geo-Information Science. 18, 02(Feb, 2016), 200--209.

[9]

Ling, S.G., Jiao, W.L., Long, T.F., Liu, H.C., Yi, Y.Q., Wu, M.M., Wang, W., He, G.J. 2016. Analysis of spatial and temporal characteristics of urban expansion about Wuhan city in the year of 2000-2014. Resources and Environment in the Yangtze Basin. 25, 07(July, 2016), 1034--1042.

[10]

Liu, C.X., Zhu, K.W., Li, Y.C. 2017. Research on the urban Expansion in Chengdu-Chongqing Economic Zone Based on DMSP/OLS Nighttime Light Data in Recent 20 Years. Journal of Chongqing Normal University (Natural Science). 34, 06(June, 2017), 117--126.

[11]

Li, J.Y., Gong, J., Yang, J.X., Li, S.C. 2017. Urban Spatial Pattern Evolution of Wuhan City Based on Nighttime Light. Remote Sensing Information. 32, 03(March, 2017), 133--141.

[12]

Ye, Y.T., Su, Y. B., Zhang, H.O., Wu, Q.T., Liu, K. 2014. Ecological resistance surface model and its application in urban expansion simulations. journal of Geographical Sciences. 69, 04(Apr.2014), 485--496.

[13]

Chen, K., Liu, K., Liu, L., Zhu, Y.H. 2015. Urban expansion simulation by random-forest-based cellular automata: a case study of Foshan City. Progress in Geography. 34, 08(Aug, 2015), 937--946.

[14]

Chang, X.L. 1997.The Application of Lacunarity Index on Desertification Research. 17, 04(Dec.1997), 19--22.

[15]

Hoechstetter, S., Walz, U., Yhinh, N.X. 2011. Adapting lacunarity techniques for gradient-based analyses of landscape surfaces. Ecological Complexity. 08, 03(March, 2011), 229--238.

[16]

ROCESDIAZ, Jose, V., DIAZVARELA, Emilio, R., ALVAREZALVAREZ, Redro.2014. Analysis of spatial scales for ecosystem services: Application of the lacunarity concept at landscape level in Galicia (NW Spain). Ecological Indicators. 36, 36(Dec, 2014), 495--507.

[17]

Wu, H., Zhou, L., Chen, X.L., Cai, X.B., Yuan, L.Y., Y, D. 2012. Simulation analysis of congregation for urban land use pattern based on lacunarity dimension. Journal of Central China Normal University (Natural Science). 46, 02(Apr, 2012), 235--238.

[18]

Guan, X.L., Hu, S.L., Lin, X.Q., Lu, S.S. 2014. Dynamic Pattern of Urban Land Expansion and its mechanism in Wuhan Urban Agglomeration. Resources and Environment in the Yangtze Basin. 23, 11(Nov, 2014), 1493--1501.

[19]

Gong, Z., Dong, H., Hu, Y.J. 2016. Study of evaluation method of city heat island spatial distribution. Science of Surveying and Mapping. 41, 04(Nov, 2016), 93--96.

Cited By

Zhang JYuan XTan XZhang X(2021)Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban DevelopmentInternational Journal of Environmental Research and Public Health10.3390/ijerph1813718018:13(7180)Online publication date: 5-Jul-2021
https://doi.org/10.3390/ijerph18137180

Index Terms

Research on Urban Expansion Methods Based on Lacunarity Index
1. Applied computing
  1. Computers in other domains
    1. Cartography
2. Information systems
  1. Information systems applications
    1. Mobile information processing systems

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cover image ACM Other conferences

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

March 2019

156 pages

ISBN:9781450362450

DOI:10.1145/3318236

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Department of Informatics, University of Oslo

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2019

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ICGDA 2019

ICGDA 2019: 2019 2nd International Conference on Geoinformatics and Data Analysis & 2019 2nd International Conference on Software and Services Engineering

March 15 - 17, 2019

Prague, Czech Republic

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Cited By

Zhang JYuan XTan XZhang X(2021)Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban DevelopmentInternational Journal of Environmental Research and Public Health10.3390/ijerph1813718018:13(7180)Online publication date: 5-Jul-2021
https://doi.org/10.3390/ijerph18137180

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