2023
DOI: 10.1016/j.ecolind.2023.110327
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Analysis of spatiotemporal changes in cultural heritage protected cities and their influencing factors: Evidence from China

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Cited by 16 publications
(4 citation statements)
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“…Japan [34], Rwanda [35], and Turkey [36]. It can indicate the transfer and changes during the study period [37]. The calculation formula is as follows:…”
Section: Methodology For Land Use Change Analysis (1) Land Use Transf...mentioning
confidence: 99%
“…Japan [34], Rwanda [35], and Turkey [36]. It can indicate the transfer and changes during the study period [37]. The calculation formula is as follows:…”
Section: Methodology For Land Use Change Analysis (1) Land Use Transf...mentioning
confidence: 99%
“…The land use transfer matrix includes data on various types of land area at a certain time point in a given region with information on the transfer out and transfer in of various land area types. This reflects the dynamic process of mutual transformation between various types of land area at the beginning and end of a certain period in the region [38][39][40]. The formula is as follows:…”
Section: Land Use Transfer Matrixmentioning
confidence: 99%
“…Landscape pattern indices comprise highly concentrated information on landscape patterns, which are quantitative indices reflecting the landscape structural composition and spatial configuration characteristics [41]. To determine the size, regularity, fragmentation, and heterogeneity of the landscape, four major landscape index types were selected and analyzed at the landscape and class levels to reflect the landscape pattern characteristics of the TGRA [39,40]. The specific selected landscape indices are detailed in Table 2, and each calculation was run in FRAGSTATS 4.2.…”
Section: Selection and Calculation Of Landscape Indicesmentioning
confidence: 99%
“…An improved artificial intelligence population optimization algorithm combining particle swarm and ant colony optimization techniques was used to construct an environmental monitoring system for relic protection [17]. Cao and Li simulated and predicted the spatial and temporal patterns in 2030 and 2060 using the cellular automata (CA) model and landscape index and assessed the achievement of the carbon peaking and carbon neutrality targets [18]. Xia et al [19] investigated the distributions of salt crystallization and microbial growth in two tombs through long-term (annual) environmental monitoring and short-term (monthly) surveys.…”
Section: Introductionmentioning
confidence: 99%