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A multi-label cellular automata model for land change simulation., , , and . Trans. GIS, 21 (6): 1298-1320 (2017)Spatially-Explicit Bayesian Information Entropy Metrics for Calibrating Landscape Transformation Models., and . Entropy, 15 (7): 2480-2509 (2013)Urban growth modeling based on cellular automata with transition rules optimized using genetic fuzzy systems., , , and . Trans. GIS, 26 (8): 3253-3276 (2022)Automated bird acoustic event detection and robust species classification., , , , , , and . Ecol. Informatics, (2017)Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm., , and . Sensors, 16 (12): 2122 (2016)A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment., , , , , and . Environ. Model. Softw., (2014)Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (6): 2453-2461 (2013)Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world., , , and . Environ. Model. Softw., (2014)Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010-2050., , and . Data, 2 (2): 16 (2017)Optimizing unsupervised classifications of remotely sensed imagery with a data-assisted labeling approach., , , and . Comput. Geosci., 34 (12): 1877-1885 (2008)