Paper
23 February 2023 Temporal and spatial characteristics of network attention in GuiLin Lijiang scenic spot
YuTian Qin, Yanhua Liu, LingPing Qin
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 1255130 (2023) https://doi.org/10.1117/12.2668780
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
Based on the Baidu index, this article obtained the national network attention data of Guilin Lijiang Scenic Spot from 2011 to 2021, and analyzed the spatiotemporal distribution characteristics of the network attention by combining the seasonal concentration index and the Herfindahl index. The results showed that: (1) The inter-annual variation of the network attention of Guilin Lijiang Scenic Spot fluctuated greatly, with a tortuous upward trend from 2011 to 2019, a gradual downward trend from 2019 to 2021, while the seasonal and monthly changes of network attention were not significant. (2) The spatial aggregation of the network attention of Guilin Lijiang Scenic Spot is not high, it presents a spatial distribution pattern of "close and developed regions have high attention, remote and undeveloped regions have low attention."
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YuTian Qin, Yanhua Liu, and LingPing Qin "Temporal and spatial characteristics of network attention in GuiLin Lijiang scenic spot", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 1255130 (23 February 2023); https://doi.org/10.1117/12.2668780
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KEYWORDS
COVID 19

Geographic information systems

Sustainability

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