Methods of Population Spatialization Based on the Classification Information of Buildings from China’s First National Geoinformation Survey in Urban Area: A Case Study of Wuchang District, Wuhan City, China [PDF]
Sensors, 2018 Most of the currently mature methods that are used globally for population spatialization are researched on a single level, and are dependent on the spatial relationship between population and land covers (city, road, water area, etc.), resulting in ...
Lingli Zhao, Pengcheng Zhao, Linze Li
exaly +4 more sources
Remote Sensing, 2022 Accurate spatial population distribution information, especially for metropolises, is of significant value and is fundamental to many application areas such as public health, urban development planning and disaster assessment management. Random forest is
Yuan He, Wenxuan Bao
exaly +4 more sources
Remote Sensing, 2020 Remote sensing data have been widely used in research on population spatialization. Previous studies have generally divided study areas into several sub-areas with similar features by artificial or clustering algorithms and then developed models for ...
Yongming Xu
exaly +4 more sources
Population spatialization at building scale based on residential population index-A case study of Qingdao city. [PDF]
PLoS ONE, 2022 The study of population spatialization has provided important basic data for urban planning, development, environment and other issues. With the development of urbanization, urban residential buildings are getting higher and higher, and the difference ...
Zhen Mao, Haifeng Han, Heng Zhang, Bo Ai
doaj +2 more sources
Fine-scale population spatialization data of China in 2018 based on real location-based big data [PDF]
Scientific Data, 2022 Measurement(s) population Technology Type(s) location-based big data Factor Type(s) spatial region Sample Characteristic - Environment spatial region Sample Characteristic - Location ...
Mingxing Chen +7 more
doaj +2 more sources
A Population Spatialization Model at the Building Scale Using Random Forest
Remote Sensing, 2022 Population spatialization reveals the distribution and quantity of the population in geographic space with gridded population maps. Fine-scale population spatialization is essential for urbanization and disaster prevention.
Bozhao Lee +2 more
exaly +3 more sources
A population spatialization method based on the integration of feature selection and an improved random forest model. [PDF]
PLoS ONEAscertaining the precise and accurate spatial distribution of population is essential in conducting effective urban planning, resource allocation, and emergency rescue planning.
Zhen Zhao +6 more
doaj +2 more sources
ISPRS International Journal of Geo-Information, 2019 Population is a crucial basis for the study of sociology, geography, environmental studies, and other disciplines; accurate estimates of population are of great significance for many countries.
Junnan Xiong +2 more
exaly +3 more sources
A study on the refined population spatialization method integrating multi-source data: A case study of Yuxi city. [PDF]
PLoS ONEThe precise assessment of earthquake disasters requires high accuracy in population spatialization data. With the rapid development of technologies such as remote sensing and social sensing (social perception), and the growing availability of large-scale
Fanghao Zhang +5 more
doaj +2 more sources
Sensors, 2019 To measure the equity of urban park green space, spatial matching between service supply and user group demand should be taken into consideration. However, if the demographic data, with the administrative division as the basic unit, are directly applied ...
Yuhan Tang, Xuefei Wu, Chuandong Tan
exaly +3 more sources