Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach

Amaro-Mellado, José-Lázaro; Melgar-García, Laura; Rubio-Escudero, Cristina; Gutiérrez‐Avilés, David

doi:10.1016/j.cageo.2021.104736

Cited by 7 publications

(2 citation statements)

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“…In Formula (2), 12 , , ,  rj i i i is the abnormal data index of Sanya tourist attractions in different seasons.…”

Section: A Sanya Tourist Attractions Data Noise Reduction In Differen...mentioning

confidence: 99%

“…The most commonly used indicators for evaluating the supply and demand of transportation vehicles are the distance from residents' residential areas to the location of tourist attractions in Sanya, as well as the spatial scale, capacity, and construction quality of tourist attractions in Sanya. According to geographic information system (GIS) classification [12][13], differences in residents' age, income, and other factors are statistically analyzed. Combined with the distribution of population living space, the degree to which different residential areas are covered by the spatial facilities of Sanya tourist attractions is compared, and an evaluation of the physical accessibility of Sanya tourist attractions is completed.…”

Section: ) Physical Accessibility Evaluation Modelmentioning

confidence: 99%

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Research on Spatial Accessibility Measurement Algorithm for Sanya Tourist Attractions Based on Seasonal Factor Adjustment Analysis

Mao,

Zhuang

2024

IJACSA

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Seasonal factors will lead to changes in tourists' demand for scenic spots in different seasons, which will affect the traffic network and road conditions, and then affect the convenience and efficiency of tourists arriving at scenic spots. Based on the adjustment and analysis of seasonal factors, this study puts forward an algorithm for measuring the spatial accessibility of Sanya tourist attractions. Principal component analysis is used to denoise the data of Sanya tourist attractions in different seasons, and independent component analysis is used to extract the data characteristics of Sanya tourist attractions in different seasons after denoising. On this basis, the spatial accessibility index of Sanya tourist attractions is calculated by combining the spatial information of Sanya tourist attractions and GIS technology, and the spatial accessibility of Sanya tourist attractions is analyzed, and the spatial accessibility measurement model of Sanya tourist attractions is constructed to realize the spatial accessibility measurement of Sanya tourist attractions. The experimental results show that the spatial accessibility measurement method of Sanya tourist attractions is effective, which can effectively improve the accuracy of accessibility measurement and shorten the accessibility measurement time. It aims to help decision makers plan and optimize tourist routes and improve the efficiency and convenience of tourists arriving at their destinations.

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“…In Formula (2), 12 , , ,  rj i i i is the abnormal data index of Sanya tourist attractions in different seasons.…”

Section: A Sanya Tourist Attractions Data Noise Reduction In Differen...mentioning

confidence: 99%

Section: ) Physical Accessibility Evaluation Modelmentioning

confidence: 99%

Research on Spatial Accessibility Measurement Algorithm for Sanya Tourist Attractions Based on Seasonal Factor Adjustment Analysis

Mao,

Zhuang

2024

IJACSA

View full text Add to dashboard Cite

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Spatio-temporal analysis of main seismic hazard parameters in the Ibero–Maghreb region using an Mw- homogenized catalog

Mobarki

Talbi

2022

Acta Geophys.

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TriSig: Evaluating the statistical significance of triclusters

Alexandre,

Costa,

Henriques

2024

Pattern Recognition

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Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach

Cited by 7 publications

References 50 publications

Research on Spatial Accessibility Measurement Algorithm for Sanya Tourist Attractions Based on Seasonal Factor Adjustment Analysis

Research on Spatial Accessibility Measurement Algorithm for Sanya Tourist Attractions Based on Seasonal Factor Adjustment Analysis

Spatio-temporal analysis of main seismic hazard parameters in the Ibero–Maghreb region using an Mw- homogenized catalog

TriSig: Evaluating the statistical significance of triclusters

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