Results 1 to 10 of about 513,538 (268)

Development of an open‐pollinated genetic mapping framework to facilitate the identification of QTL in apples [PDF]

The Plant Genome
Genetic mapping of traits in apples (Malus domestica), a temperate woody perennial, is challenging due to high heterozygosity, long juvenility, and extensive spatial maintenance requirements for the populations.
David Hickok, Awais Khan, Kelly Robbins
doaj   +2 more sources

Remote Sensing and Social Sensing Data Fusion for Fine-Resolution Population Mapping With a Multimodel Neural Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Mapping population distribution at fine spatial scales is significant and fundamental for resource utilization, assessment of city disaster, environmental regulation, and urbanization.
Luxiao Cheng, Lizhe Wang, Ruyi Feng, Jining Yan   +3 more
doaj   +1 more source

Multi-Resolution Population Mapping Based on a Stepwise Downscaling Approach Using Multisource Data

Remote Sensing, 2023
The distribution of the population is an essential aspect of addressing social, economic, and environmental problems. Gridded population data can provide more detailed information than census data, and multisource data from remote sensing and geographic ...
Yan Jin, Rui Liu, Haoyu Fan, Pengdu Li, Yaojie Liu, Yan Jia   +5 more
doaj   +1 more source

Mapping Population Distribution Based on XGBoost Using Multisource Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Mapping fine-scale distribution of the population is essential to the study of human activities, where more reliable open-access big data could be excavated with the help of machine learning models.
Xin Zhao, Nan Xia, Yunyun Xu, Xuefeng Huang, Manchun Li   +4 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

Spatial Accessibility in Urban Regeneration Areas: A Population-Weighted Method Assessing the Social Amenity Provision

Urban Planning, 2021
Principles of social sustainability serve to guide urban regeneration programmes around the world. Increasingly, the upholding of these principles is subject to qualified evaluation and monitoring.
Robin Gutting, Maria Gerhold, Stefanie Rößler   +2 more
doaj   +1 more source

Mapping Changing Population Distribution on the Qinghai–Tibet Plateau since 2000 with Multi-Temporal Remote Sensing and Point-of-Interest Data

Remote Sensing, 2020
Advanced developments have been achieved in urban human population estimation, however, there is still a considerable research gap for the mapping of remote rural populations.
Lanhui Li, Yili Zhang, Linshan Liu, Zhaofeng Wang, Huamin Zhang, Shicheng Li, Mingjun Ding   +6 more
doaj   +1 more source

Disaggregating County-Level Census Data for Population Mapping Using Residential Geo-Objects With Multisource Geo-Spatial Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Accurate spatialization of socioeconomic data is conducive to understand the spatial and temporal distribution of human social development status and, thus, effectively support future scientific decision-making.
Tianjun Wu, Jiancheng Luo, Wen Dong, Lijing Gao, Xiaodong Hu, Zhifeng Wu, Yingwei Sun, Jinsong Liu   +7 more
doaj   +1 more source

Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning

Remote Sensing, 2021
Fine knowledge of the spatiotemporal distribution of the population is fundamental in a wide range of fields, including resource management, disaster response, public health, and urban planning.
Haoming Zhuang, Xiaoping Liu, Yuchao Yan, Jinpei Ou, Jialyu He, Changjiang Wu   +5 more
doaj   +1 more source

A reproducible picture of open access health facility data in Africa and R tools to support improvement [version 2; peer review: 2 approved, 1 approved with reservations, 1 not approved]

Wellcome Open Research, 2021
Background: Open data on the locations and services provided by health facilities have, in some countries, allowed the development of software tools contributing to COVID-19 response.
Andy South, Ahmadou Dicko, Mark Herringer, Peter M. Macharia, Joseph Maina, Emelda A. Okiro, Robert W. Snow, Anelda van der Walt   +7 more
doaj   +1 more source