| Title | Digital city landscape planning and design based on spatial information technology |
|---|---|
| ID_Doc | 42214 |
| Authors | Deng, Y; Xie, LT; Xing, CY; Cai, L |
| Title | Digital city landscape planning and design based on spatial information technology |
| Year | 2022 |
| Published | Neural Computing & Applications, 34, 12 |
| Abstract | With the development of information technology and China's urban economy, the concept of smart cities has been proposed many times. Planning and designing cityscapes are essential in the process of building smart cities. There are many factors to consider when designing and planning traditional cityscapes, and these factors must be studied in combination with modern developments and characteristics. Information technology can provide massive data support and technical support for these studies. With the support of information technology, cities and modern technology can be closely connected. This paper proposes research on digital cityscape planning and design under spatial information technology using literature methods, field survey methods, comparative survey methods, and other methods. First, we deeply study spatial information technology and theoretical knowledge of digital cityscape planning and design; then, we design a spatial gray-level co-occurrence matrix model, collect urban vegetation data maps via remotely sensed images, and finally analyze the planning and design of digital cityscapes. After landscape planning, the vegetation was rated at 38.94 points, approximately 12 points higher than the rating given before planning. This result shows that after reasonable landscape planning and design, the needs of people for green plants can be met well, and the ecological value of digital urban spatial landscapes can be fully utilized. These results are important for maintaining the diversity of urban biodiversity, regulating the regional climate, and maintaining urban spaces, and the ecological balance of the entire city also plays a vital role. |
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