Modeling and Predicting Urban Expansion in South Korea Using Explainable Artificial Intelligence (XAI) Model

Multi-scenario simulation of urban growth boundaries with an ESP-FLUS model: A case study of the Min Delta region, China

(2022) Xiaoyang Liu et al.   ECOLOGICAL INDICATORS

Urban Expansion Monitoring Based on the Digital Surface Model—A Case Study of the Beijing–Tianjin–Hebei Plain

(2022) Yanping Wang et al.   Applied Sciences-Basel

Predicting future urban growth scenarios and potential urban flood exposure using Artificial Neural Network-Markov Chain model in Miami Metropolitan Area

(2022) Shaikh Abdullah Al Rifat et al.   LAND USE POLICY

Incorporating Ecological Constraints into the Simulations of Tropical Urban Growth Boundaries: A Case Study of Sanya City on Hainan Island, China

(2022) Nianlong Han et al.   Applied Sciences-Basel

A novel CNN-LSTM-based approach to predict urban expansion

(2021) Wadii Boulila et al.   Ecological Informatics

Forest management can mitigate negative impacts of climate and land-use change on plant biodiversity: Insights from the Republic of Korea

(2021) Yuyoung Choi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

(2021) Anna Markella Antoniadi et al.   Applied Sciences-Basel

The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

(2021) Chao Yang et al.   ACCIDENT ANALYSIS AND PREVENTION

Interpretable and explainable AI (XAI) model for spatial drought prediction

(2021) Abhirup Dikshit et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA

(2021) Zia U. Ahmed et al.   Scientific Reports

Firefly algorithm-based cellular automata for reproducing urban growth and predicting future scenarios

(2021) Qingmei Li et al.   Sustainable Cities and Society

Understanding future urban growth, urban resilience and sustainable development of small cities using prediction-adaptation-resilience (PAR) approach

(2021) Suraj Kumar Mallick et al.   Sustainable Cities and Society

Analysis of Inter-Relationships between Urban Decline and Urban Sprawl in City-Regions of South Korea

(2020) Uijeong Hwang et al.   Sustainability

Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model

(2020) Liang Zhou et al.   Sustainable Cities and Society

Modeling the effects of urban expansion on regional carbon storage by coupling SLEUTH‐3r model and InVEST model

(2019) Rongfang Lyu et al.   ECOLOGICAL RESEARCH

Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata

(2019) Tingting Xu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Characterizing the spatial pattern of annual urban growth by using time series Landsat imagery

(2019) Yingchun Fu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Analyzing spatial patterns, driving forces and predicting future growth scenarios for supporting sustainable urban growth: Evidence from Tabriz metropolitan area, Iran

(2019) Hashem Dadashpoor et al.   Sustainable Cities and Society

Effects of land use and land cover change on ecosystem services in the Koshi River Basin, Eastern Nepal

(2019) Bhagawat Rimal et al.   Ecosystem Services

Spatiotemporal Modeling of Urban Growth Using Machine Learning

(2019) Jairo A. Gómez et al.   Remote Sensing

Urbanization for rural sustainability – Rethinking China's urbanization strategy

(2018) Yuheng Li et al.   JOURNAL OF CLEANER PRODUCTION

Extending the SLEUTH model to integrate habitat quality into urban growth simulation

(2018) Feixue Li et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Comparing support vector machines with logistic regression for calibrating cellular automata land use change models

(2018) Ahmed Mustafa et al.   European Journal of Remote Sensing

A Random Forest-Cellular Automata modelling approach to explore future land use/cover change in Attica (Greece), under different socio-economic realities and scales

(2018) Dimitrios Gounaridis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Machine Learning Techniques for Modelling Short Term Land-Use Change

(2017) Mileva Samardžić-Petrović et al.   ISPRS International Journal of Geo-Information

Urban growth models: progress and perspective

(2016) Xuecao Li et al.   Science Bulletin

Urban land density function: A new method to characterize urban expansion

(2015) Limin Jiao   LANDSCAPE AND URBAN PLANNING

A gradient boosting method to improve travel time prediction

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Futures of global urban expansion: uncertainties and implications for biodiversity conservation

(2013) B Güneralp et al.   Environmental Research Letters

Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools

(2012) K. C. Seto et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Urban growth, climate change, and freshwater availability

(2011) R. I. McDonald et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mapping urban growth probability in South Korea: comparison of frequency ratio, analytic hierarchy process, and logistic regression models and use of the environmental conservation value assessment

(2010) Soyoung Park et al.   Landscape and Ecological Engineering

Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea

(2010) Soyoung Park et al.   LANDSCAPE AND URBAN PLANNING