Andreas Rienow

Unlocking the Potential: A Comprehensive Evaluation of Augmented Reality and Virtual Reality in Education

Impact of sewer overflow on public health: A comprehensive scientometric analysis and systematic review

A critical review on the treatment of dye-containing wastewater: Ecotoxicological and health concerns of textile dyes and possible remediation approaches for environmental safety

Patch-based cellular automata model of urban growth simulation: Integrating feedback between quantitative composition and spatial configuration

Land Use Change, Spatial Interaction, and Sustainable Development in the Metropolitan Urban Areas, South Sulawesi Province, Indonesia

Simulating urban dynamics in China using a gradient cellular automata model based on S-shaped curve evolution characteristics

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

A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

Current Challenges and Future Research Directions in Augmented Reality for Education

Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata

Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China

Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton

Augmented Reality applications as digital experiments for education – An example in the Earth-Moon System

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

Supporting SLEUTH – Enhancing a cellular automaton with support vector machines for urban growth modeling

Impacts of Spatial Extend and Site Location on Calibration of Urban Growth Models