2020
DOI: 10.1061/(asce)up.1943-5444.0000616
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Spatial Cognitive Modeling of the Site Selection for Traditional Rural Settlements: A Case Study of Kengzi Village, Southern China

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Cited by 14 publications
(11 citation statements)
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“…Create a relaxed and quiet cemetery atmosphere for living. The ecological environment of the cemetery should also be protected and restored, starting with the coverage of green plants and the creation of water sources, improving the coverage rate of green space, planting shrubs, jungles, flower fields, etc., to build the ecological construction of the cemetery [15][16]. In addition, the combination of the cemetery with tourism and agriculture can also provide economic benefits for the development of Anwar village.…”
Section: Improve the Resources Of Village Public Welfare Cemetery And...mentioning
confidence: 99%
“…Create a relaxed and quiet cemetery atmosphere for living. The ecological environment of the cemetery should also be protected and restored, starting with the coverage of green plants and the creation of water sources, improving the coverage rate of green space, planting shrubs, jungles, flower fields, etc., to build the ecological construction of the cemetery [15][16]. In addition, the combination of the cemetery with tourism and agriculture can also provide economic benefits for the development of Anwar village.…”
Section: Improve the Resources Of Village Public Welfare Cemetery And...mentioning
confidence: 99%
“…Untuk mengatasi permasalahan tersebut dalam artikel ini potensi pengembangan penggunaan lahan yang merupakan simulasi pemilihan ruang hidup untuk masyarakat lebih dioptimalkan sesuai dengan aturan tata ruang yang sesuai dengan lahan tersebut. Hasil penelitian pada artikel ini menunjukkan bahwa dengan menggunakan fitur pengenalan spasial dan regresi menghasilkan karakteristik spasial yang memiliki keunggulan untuk mengatasi permasalahan masyarakat dalam hal pemilihan karakteristik spasial (Yang & Pu, 2020).…”
Section: Tinjauan Pustakaunclassified
“…However, the recent trend is applying machine learning to urban planning. This multidisciplinary field leverages vast data sets and continuously refines results based on set rules, allowing effective handling of site selection issues by simulating suitable locations based on influential factors [1,2]. Moreover, machine learning can be integrated with image data for refined research, enabling identification of image features and semantic segmentation of streetscape images [3,4].…”
Section: Introductionmentioning
confidence: 99%