[HTML][HTML] Machine learning for spatial analyses in urban areas: a sco** review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Big Data and cloud computing: innovation opportunities and challenges

C Yang, Q Huang, Z Li, K Liu, F Hu - International Journal of Digital …, 2017 - Taylor & Francis
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

[HTML][HTML] Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method

H Wu, A Lin, X **ng, D Song, Y Li - International Journal of Applied Earth …, 2021 - Elsevier
Rapid urbanization at the expense of the environment led to a reduction in vegetation cover,
and consequently aggravated land degradation, urban water logging, heat island effect and …

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

G Wang, A Gunasekaran, EWT Ngai… - International journal of …, 2016 - Elsevier
The amount of data produced and communicated over the Internet is significantly increasing,
thereby creating challenges for the organizations that would like to reap the benefits from …

The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States

X Li, Y Zhou, GR Asrar, M Imhoff, X Li - Science of the Total Environment, 2017 - Elsevier
Urban heat island (UHI), the phenomenon that urban areas experience higher temperatures
compared to their surrounding rural areas, has significant socioeconomic and environmental …

Modeling flood reduction effects of low impact development at a watershed scale

L Ahiablame, R Shakya - Journal of environmental management, 2016 - Elsevier
Low impact development (LID) is a land development approach that seeks to mimic a site's
pre-development hydrology. This study is a case study that assessed flood reduction …

The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review

MM Aburas, YM Ho, MF Ramli, ZH Ash'aari - International Journal of …, 2016 - Elsevier
In recent years, several types of simulation and prediction models have been used within a
GIS environment to determine a realistic future for urban growth patterns. These models …

Environmental performance evaluation with big data: Theories and methods

ML Song, R Fisher, JL Wang, LB Cui - Annals of Operations Research, 2018 - Springer
Traditional theories and methods for comprehensive environmental performance evaluation
are challenged by the appearance of big data because of its large quantity, high velocity …

Rethinking big data: A review on the data quality and usage issues

J Liu, J Li, W Li, J Wu - ISPRS journal of photogrammetry and remote …, 2016 - Elsevier
The recent explosive publications of big data studies have well documented the rise of big
data and its ongoing prevalence. Different types of “big data” have emerged and have …

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

C Fang, H Liu, G Li - Journal of Geographical Sciences, 2016 - Springer
Global urbanization is exerting severe stress and having far-reaching impacts on the eco-
environment, and yet there exists a complex non-linear coupling relationship between the …