[HTML][HTML] Deep learning for urban land use category classification: A review and experimental assessment

Z Li, B Chen, S Wu, M Su, JM Chen, B Xu - Remote Sensing of …, 2024 - Elsevier
Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …

The effect of global change on mosquito-borne disease

LHV Franklinos, KE Jones, DW Redding… - The Lancet infectious …, 2019 - thelancet.com
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 …

A deep gravity model for mobility flows generation

F Simini, G Barlacchi, M Luca, L Pappalardo - Nature communications, 2021 - nature.com
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 …

Microestimates of wealth for all low-and middle-income countries

G Chi, H Fang, S Chatterjee… - Proceedings of the …, 2022 - pnas.org
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 …

A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

Wastewater-based epidemiology biomarkers: past, present and future

PM Choi, BJ Tscharke, E Donner, JW O'Brien… - TrAC Trends in …, 2018 - Elsevier
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 …

[HTML][HTML] The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

S Leyk, AE Gaughan, SB Adamo… - Earth System …, 2019 - essd.copernicus.org
Population data represent an essential component in studies focusing on human–nature
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 …

Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways

X Wang, X Meng, Y Long - Scientific Data, 2022 - nature.com
Spatially explicit population grid can play an important role in climate change, resource
management, sustainable development and other fields. Several gridded datasets already …

[HTML][HTML] Big Data sources and methods for social and economic analyses

D Blazquez, J Domenech - Technological Forecasting and Social Change, 2018 - Elsevier
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 …