Machine learning for spatial analyses in urban areas: a scoping review

A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom

“…The Machine Learning (ML) Random Forests method, as a decision support tool, allow us to process large amount of data and extract useful information for supporting and providing decisions (Casali et al, 2022;Tekouabou et al, 2022). Here we use ML to classify residential neighbourhoods at the regional scale for the Arc region.…”

“…We integrate the natural capital value of the land in the density-scenario development, so that land that has a high value for food production, ecosystem services, or biodiversity is protected from development. The methods of analysis developed here provide a better understanding of spatial planning than traditional methods of urban densifications at regional scale (Casali et al, 2022;Eggimann et al, 2021;Tekouabou et al, 2022) and can be applied to other regions in the UK (and for other countries). Here these methods have been used to provide accurate estimates of the housing capacity for the potential land identified in Local Plans and as brownfield lands in the Arc under different density scenarios.…”

Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM

“…A more sophisticated data-driven method is also called ensemble learning. The basic concept underlying this method is the integration of several basic models with a combination strategy to complete the estimation [41]- [43].The ensemble model is categorized into two, namely Many data science studies, especially machine learning, are related to the environment in urban areas [44]. In addition, the industrial and commercial sectors also play a role in exacerbating the condition.…”

Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review

“…As we all know, the availability of land that can support human production and life is fixed and limited. To achieve SDGs in social, economic, and environmental domains while faced with this constraint, it is imperative to improve land use efficiency [9]. Improving land use efficiency is also a crucial strategy for promoting sustainable development globally.…”