Synergies Between Land Use/Land Cover Mapping and Urban Morphology: A Review of Advances and Methodologies
Aleksandra Milovanović (),
Nikola Cvetković,
Uroš Šošević,
Stefan Janković and
Mladen Pešić
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Aleksandra Milovanović: Faculty of Architecture, University of Belgrade, 11120 Belgrade, Serbia
Nikola Cvetković: Faculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, Serbia
Uroš Šošević: Faculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, Serbia
Stefan Janković: Faculty of Philosophy, University of Belgrade, 11000 Belgrade, Serbia
Mladen Pešić: Faculty of Architecture, University of Belgrade, 11120 Belgrade, Serbia
Land, 2024, vol. 13, issue 12, 1-28
Abstract:
This study aims to bridge the fields of urban morphology and land use/land cover (LULC) mapping through a systematic analysis of their integration in recent research. The research employs systematic literature review (SLR) methodology combining quantitative and qualitative methods through four methodological steps: data search, data selection, data analysis, and data clustering. The analysis performed three distinct clustering patterns: (1) methods and tools, (2) data types, and (3) urban morphology aspects. The results reveal five distinct methodological approaches—Data-Driven Typological Decoding Approach, Quantitative Structural Metrics Approach, Predictive Spatiotemporal Transition Approach, Temporal Change Detection and Performance Approach, and Spatial Configuration and Density Analysis Approach—each contributing unique insights to urban form analysis. The findings demonstrate the multidimensional nature of urban form analysis, incorporating both social and temporal dimensions, while highlighting the essential role of change detection in understanding urban pattern evolution. This systematic review establishes a comprehensive framework for understanding the relationship between urban morphology and LULC mapping, providing valuable insights for future research integration.
Keywords: urban morphology; LULC mapping; spatial analysis; systematic literature review; clustering analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:12:p:2205-:d:1545546
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