[HTML][HTML] Machine learning for spatial analyses in urban areas: a sco** review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
Big Data and cloud computing: innovation opportunities and challenges
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 …
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
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 …
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
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 …
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
Urban heat island (UHI), the phenomenon that urban areas experience higher temperatures
compared to their surrounding rural areas, has significant socioeconomic and environmental …
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 …
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
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 …
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 …
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
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 …
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
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 …
environment, and yet there exists a complex non-linear coupling relationship between the …