Results 11 to 20 of about 513,538 (268)
Mapping of Population Density [PDF]
Demography, 1974 Abstract The Bureau of the Census listing of geographical coordinates of centroids of all enumeration districts together with population counts from the U. S. 1970 Census of Population was used to contruct via computer five nationwide geographical grids of population density with sector dimensions of 0.01, 0.02, 0.04, 0.1, and 0.25 ...
C M, Haaland, M T, Heath
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Dynamic population mapping with AutoGluon
Urban Informatics, 2022 AbstractTimely and accurate population mapping plays an essential role in a wide range of critical applications. Benefiting from the emergence of multi-source geospatial datasets and the development of spatial statistics and machine learning, multi-scale population mapping with high temporal resolutions has been made possible. However, the over-complex
Yimeng Song +6 more
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Mapping Vulnerable Populations with AI
CoRR, 2021 Humanitarian actions require accurate information to efficiently delegate support operations. Such information can be maps of building footprints, building functions, and population densities. While the access to this information is comparably easy in industrialized countries thanks to reliable census data and national geo-data infrastructures, this is
Benjamin Kellenberger +8 more
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Association Mapping in Structured Populations [PDF]
The American Journal of Human Genetics, 2000 The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide polymorphisms (SNPs) has been heralded as a potential breakthrough in the study of the genetic basis of common complex disorders. A serious problem with association mapping is that population structure can lead to spurious associations between a ...
Pritchard, J +3 more
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Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy
ISPRS International Journal of Geo-Information, 2020 Mapping population distribution at fine resolutions with high accuracy is crucial to urban planning and management. This paper takes Guangzhou city as the study area, illustrates the gridded population distribution map by using machine learning methods ...
Guanwei Zhao, Muzhuang Yang
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ISPRS International Journal of Geo-Information, 2020 Gridded population results at a fine resolution are important for optimizing the allocation of resources and researching population migration. For example, the data are crucial for epidemic control and natural disaster relief.
Yun Zhou +3 more
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ISPRS International Journal of Geo-Information, 2019 The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics describing the human presence on the planet that is based mainly on two quantitative factors: (i) the spatial distribution (density) of built-up ...
Michele Melchiorri +4 more
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Remote Sensing, 2019 Previous studies have attempted to disaggregate census data into fine resolution with multisource remote sensing data considering the importance of fine-resolution population distribution in urban planning, environmental protection, resource allocation ...
Luyao Wang, Hong Fan, Yankun Wang
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Wellcome Open Research, 2020 Background: Open data on the locations and services provided by health facilities in some countries have allowed the development of software tools contributing to COVID-19 response. The UN and WHO encourage countries to make health facility location data
Andy South +7 more
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Improving the Accuracy of Fine-Grained Population Mapping Using Population-Sensitive POIs
Remote Sensing, 2019 Many methods have been used to generate gridded population maps by downscaling demographic data. As one of these methods, the accuracy of the dasymetric model depends heavily on the covariates.
Yuncong Zhao +3 more
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