A review of clustering techniques and developments

A Saxena, M Prasad, A Gupta, N Bharill, OP Patel… - Neurocomputing, 2017 - Elsevier
This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …

[HTML][HTML] Influence of meteorological conditions on PM2. 5 concentrations across China: A review of methodology and mechanism

Z Chen, D Chen, C Zhao, M Kwan, J Cai… - Environment …, 2020 - Elsevier
Air pollution over China has attracted wide interest from public and academic community.
PM 2.5 is the primary air pollutant across China. Quantifying interactions between …

Global estimates and long-term trends of fine particulate matter concentrations (1998–2018)

MS Hammer, A van Donkelaar, C Li… - Environmental …, 2020 - ACS Publications
Exposure to outdoor fine particulate matter (PM2. 5) is a leading risk factor for mortality. We
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …

Land use change, urbanization, and change in landscape pattern in a metropolitan area

H Dadashpoor, P Azizi, M Moghadasi - Science of the Total Environment, 2019 - Elsevier
This paper analyzes land use change, urbanization and their impact on the change in
landscape pattern in Tabriz metropolitan area (TMA) during the time period from 1996 to …

Inference in multiscale geographically weighted regression

H Yu, AS Fotheringham, Z Li, T Oshan… - Geographical …, 2020 - Wiley Online Library
A recent paper expands the well‐known geographically weighted regression (GWR)
framework significantly by allowing the bandwidth or smoothing factor in GWR to be derived …

Modeling the spatially heterogeneous relationships between tradeoffs and synergies among ecosystem services and potential drivers considering geographic scale in …

C Xue, X Chen, L Xue, H Zhang, J Chen, D Li - Science of the Total …, 2023 - Elsevier
Understanding the complex relationships of tradeoffs and synergies among ecosystem
services (ESs) is essential to achieve a comprehensive, coordinated, and sustainable …

Sociodemographic determinants of COVID-19 incidence rates in Oman: Geospatial modelling using multiscale geographically weighted regression (MGWR)

S Mansour, A Al Kindi, A Al-Said, A Al-Said… - Sustainable cities and …, 2021 - Elsevier
The current COVID-19 pandemic is evolving rapidly into one of the most devastating public
health crises in recent history. By mid-July 2020, reported cases exceeded 13 million …

A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership

X Ma, J Zhang, C Ding, Y Wang - Computers, Environment and Urban …, 2018 - Elsevier
Understanding the influence of the built environment on transit ridership can provide transit
authorities with insightful information for operation management and policy making, and …

Portraying the spatial dynamics of urban vibrancy using multisource urban big data

W Tu, T Zhu, J Xia, Y Zhou, Y Lai, J Jiang… - … , Environment and Urban …, 2020 - Elsevier
Understanding urban vibrancy aids policy-making to foster urban space and therefore has
long been a goal of urban studies. Recently, the emerging urban big data and urban analytic …

Spatiotemporal changes and driving forces of ecosystem vulnerability in the Yangtze River Basin, China: Quantification using habitat-structure-function framework

Z Pan, G Gao, B Fu - Science of the Total Environment, 2022 - Elsevier
Ecosystem vulnerability is the degree to which an ecosystem is susceptible to adverse
effects of external disturbances. Exploring the pattern of ecosystem vulnerability and its …