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[HTML][HTML] Deep learning for urban land use category classification: A review and experimental assessment
Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …
valuable role in understanding urban environmental dynamics and facilitating sustainable …
The effect of global change on mosquito-borne disease
More than 80% of the global population is at risk of a vector-borne disease, with mosquito-
borne diseases being the largest contributor to human vector-borne disease burden …
borne diseases being the largest contributor to human vector-borne disease burden …
A deep gravity model for mobility flows generation
The movements of individuals within and among cities influence critical aspects of our
society, such as well-being, the spreading of epidemics, and the quality of the environment …
society, such as well-being, the spreading of epidemics, and the quality of the environment …
Microestimates of wealth for all low-and middle-income countries
Many critical policy decisions, from strategic investments to the allocation of humanitarian
aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty …
aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Wastewater-based epidemiology biomarkers: past, present and future
Wastewater is a complex matrix containing a wide range of chemical and biological markers
of human activity. Relating concentrations of these “waste” materials in wastewater influent …
of human activity. Relating concentrations of these “waste” materials in wastewater influent …
[HTML][HTML] The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Population data represent an essential component in studies focusing on human–nature
interrelationships, disaster risk assessment and environmental health. Several recent efforts …
interrelationships, disaster risk assessment and environmental health. Several recent efforts …
WorldPop, open data for spatial demography
AJ Tatem - Scientific data, 2017 - nature.com
High resolution, contemporary data on human population distributions, their characteristics
and changes over time are a prerequisite for the accurate measurement of the impacts of …
and changes over time are a prerequisite for the accurate measurement of the impacts of …
Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways
Spatially explicit population grid can play an important role in climate change, resource
management, sustainable development and other fields. Several gridded datasets already …
management, sustainable development and other fields. Several gridded datasets already …
[HTML][HTML] Big Data sources and methods for social and economic analyses
Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …
a stream of fresh and digitized data related to how people, companies and other …