Zobrazeno 1 - 10
of 106
pro vyhledávání: '"population spatialization"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Accurate population mapping is crucial for disaster management, urban planning, etc. However, current methods using nighttime light (NTL) and gridded population datasets are limited by low spatial resolution and insufficient training data for complex
Externí odkaz:
https://doaj.org/article/59d5915196354ff5a6ac20c60a8d60b2
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112307- (2024)
The Tibetan Plateau, known for its high elevation and sparse population distribution, heavily depends on gridded population data to enhance disaster prevention and management strategies. This study utilizes multi-source physical geographic and socio-
Externí odkaz:
https://doaj.org/article/14a47ced925f43aea8fedce5af726d20
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103882- (2024)
Dynamic gridded population data are crucial in fields such as disaster reduction, public health, urban planning, and global change studies. Despite the use of multi-source geospatial data and advanced machine learning models, current frameworks for p
Externí odkaz:
https://doaj.org/article/1224197d31514213847139f1ad7eadee
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2704-2723 (2023)
The distribution and dynamic changes of regional or national population data with long time series are very important for regional planning, resource allocation, government decision-making, disaster assessment, ecological protection, and other sustai
Externí odkaz:
https://doaj.org/article/0ec1a79e7fd04e1c85852f30d6fa5ea7
Autor:
Li Shanshan, Lin Wentan
Publikováno v:
Redai dili, Vol 43, Iss 3, Pp 384-394 (2023)
The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) is one of the most open regions in China, with the strongest economic vitality and fastest population growth, playing an important role in China's development strategy. Using GBA as the research ar
Externí odkaz:
https://doaj.org/article/33c731469df1473c9504f8fb9ac3ed23
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1589-1600 (2023)
Fine-scale population spatial distribution plays an important role in urban microcosmic research, influencing infrastructure placement, emergency evacuation management, business decisions, and urban planning. In the past, nighttime light (NTL) data w
Externí odkaz:
https://doaj.org/article/2ece73580c86451ba186c877993c028b
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Fine-scale population map plays an essential role in numerous fields, including resource allocation, urban planning, disaster prevention and response. Point of Interest (POI) data is widely used for population spatialization, but the types of POI are
Externí odkaz:
https://doaj.org/article/560d3715367d4f4aa9ec1d4622a922da
Akademický článek
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Akademický článek
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Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 446 (2024)
Spatial population distribution data is the discretization of demographic data into spatial grids, which has vital reference significance for disaster emergency response, disaster assessment, emergency rescue resource allocation, and post-disaster re
Externí odkaz:
https://doaj.org/article/16df67bb6bdf40298bcfc7d2a93de598