Identifying urban growth patterns through land-use/land-cover spatio-temporal metrics: Simulation and analysis-Reference-Cited by-同舟云学术

Identifying urban growth patterns through land-use/land-cover spatio-temporal metrics: Simulation and analysis

Published:2020-09-08 Issue:2 Volume:35 Page:375-396
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Sapena Marta¹²^ORCID,Ruiz Luis A.¹^ORCID

Affiliation:

1. Geo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Valencia, Spain

2. German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, Germany

Funder

the Spanish Ministerio de Economía y Competitividad and European Regional Development Fund

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1817463

Reference56 articles.

1. Modelling urban form: A multidimensional typology of urban occupation for spatial analysis

2. Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999

3. Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion

4. Estimating the relationship between urban forms and energy consumption: A case study in the Pearl River Delta, 2005–2008

5. Chin, N., 2002. Unearthing the roots of urban sprawl: a critical analysis of form, function and methodology. Working Paper 47. Centre for Advanced Spatial Analysis (UCL): London, UK.

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Urban spatial growth and driving mechanisms under different urban morphologies: An empirical analysis of 287 Chinese cities;Landscape and Urban Planning;2024-08

2. Multidimensional effects of history, neighborhood, and proximity on urban land growth: A dynamic spatiotemporal rolling prediction model (STRM);Transactions in GIS;2024-07-19

3. Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data;International Journal of Applied Earth Observation and Geoinformation;2024-05

4. Spatiotemporal Variations of Urban Spatial Dispersion and Its Vegetation Degradation in Joglosemar’s Urban Growth Corridors, Indonesia;Australian Geographer;2024-03-22

5. Assessment of urban growth in relation to urban sprawl using landscape metrics and Shannon’s entropy model in Jalpaiguri urban agglomeration, West Bengal, India;Geocarto International;2024-01