Results 11 to 20 of about 4,888,453 (287)

Research on Population Spatialization Method Based on PMST-SRCNN [PDF]

E3S Web of Conferences, 2020
How to improve the accuracy of population spatialization by using downscaling technology has always been a difficult issue in academic research. The population spatialization model constructed from the global or local perspective alone has its own ...
Li Yuting, Liu Minghao, Li Yinxing, You Peng   +3 more
doaj   +2 more sources

Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai

Applied Sciences
Fine-scale population distribution information is crucial for applications in urban public safety, planning, and management. However, when using machine learning methods for population spatialization, issues such as data overfitting and limited ...
Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu   +4 more
doaj   +2 more sources

Unraveling near real-time spatial dynamics of population using geographical ensemble learning [PDF]

International Journal of Applied Earth Observations and Geoinformation
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 ...
Yimeng Song, Shengbiao Wu, Bin Chen, Michelle L. Bell   +3 more
doaj   +2 more sources

The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data

Remote Sensing, 2018
Despite the importance of high-resolution population distribution in urban planning, disaster prevention and response, region economic development, and improvement of urban habitant environment, traditional urban investigations mainly focused on large ...
Yunhao Chen, Kangning Li
exaly   +3 more sources

How the 5G Enabled the COVID-19 Pandemic Prevention and Control: Materiality, Affordance, and (De-)Spatialization [PDF]

International Journal of Environmental Research and Public Health, 2022
Gaoyong Li
exaly   +2 more sources

SPATIAL POPULATION DYNAMICS [PDF]

Papers in Regional Science, 1976
This paper examines the relationships between natural increase (births minus deaths) and net migration (in-migrants minus out-migrants) in regional populations and identifies and clarifies some of the fundamental population dynamics involved. First the authors consider several well-defined regularities of fertility mortality and migration schedules ...
Rogers, A., Willekens, F.
openaire   +7 more sources

Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China

ISPRS International Journal of Geo-Information, 2022
Population spatialization data is crucial to conducting scientific studies of coupled human–environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak.
Yiyi Huang, Tao Lin, Guoqin Zhang, Wei Zhu, Nicholas A. S. Hamm, Yuqin Liu, Junmao Zhang, Xia Yao   +7 more
doaj   +1 more source

Population spatialization in Zhengzhou city based on multi-source data and random forest model

Frontiers in Earth Science, 2023
Fine-scale population map plays an essential role in numerous fields, including resource allocation, urban planning, disaster prevention and response.
Lingling Liu, Gang Cheng, Jie Yang, Yushu Cheng   +3 more
doaj   +1 more source

Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling

Geo-spatial Information Science, 2022
Population spatialization is widely used for spatially downscaling census population data to finer-scale. The core idea of modern population spatialization is to establish the association between ancillary data and population at the administrative-unit ...
Yuao Mei, Zhipeng Gui, Jinghang Wu, Dehua Peng, Rui Li, Huayi Wu, Zhengyang Wei   +6 more
doaj   +1 more source

Combining Luojia1-01 Nighttime Light and Points-of-Interest Data for Fine Mapping of Population Spatialization Based on the Zonal Classification Method

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 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.
Wei Guo, Jinyu Zhang, Xuesheng Zhao, Yongxing Li, Jinke Liu, Wenbin Sun, Deqin Fan   +6 more
doaj   +1 more source