Amin Tayyebi - researchr alias

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Viewing Publication 1 - 11 from 11

2022

An efficient built-up land expansion model using a modified U-NetHanieh Shojaei, Saeed Nadi, Hossein Shafizadeh-Moghadam, Amin Tayyebi, John L. van Genderen. digearth, 15(1):148-163, 2022. [doi]

2017

2016

2014

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) environmentBryan C. Pijanowski, Amin Tayyebi, Jarrod Doucette, Burak K. Pekin, David Braun, James Plourde. envsoft, 51:250-268, 2014. [doi]

Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster-vector routines with remote sensing and GISAmin Tayyebi, Phillips Christian Perry, Amir Hossein Tayyebi. gis, 28(4):639-659, 2014. [doi]

Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the worldAmin Tayyebi, Bryan C. Pijanowski, Marc Linderman, Claudio Gratton. envsoft, 59:202-221, 2014. [doi]

Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining toolsAmin Tayyebi, Bryan C. Pijanowski. aeog, 28:102-116, 2014. [doi]

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