Amin Tayyebi

According to our database, Amin Tayyebi authored at least 11 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2022

An efficient built-up land expansion model using a modified U-Net.

Hanieh Shojaei, Saeed Nadi, Hossein Shafizadeh-Moghadam, Amin Tayyebi, John L. van Genderen

Int. J. Digit. Earth, 2022

2017

Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth.

Hossein Shafizadeh-Moghadam, Amin Tayyebi, Mohammad Ahmadlou, Mahmoud Reza Delavar, Mahdi Hasanlou

Comput. Environ. Urban Syst., 2017

Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth.

Hossein Shafizadeh-Moghadam, Ali Asghari, Amin Tayyebi, Mohammad Taleai

Comput. Environ. Urban Syst., 2017

Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010-2050.

Amin Tayyebi, Samuel J. Smidt, Bryan C. Pijanowski

Data, 2017

2016

FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps.

Amin Tayyebi, Amir Hossein Tayyebi, Jamal Jokar Arsanjani, Hossein Shafizadeh-Moghadam, Hichem Omrani

Environ. Model. Softw., 2016

Assessing the suitability of GlobeLand30 for mapping land cover in Germany.

Jamal Jokar Arsanjani, Linda See, Amin Tayyebi

Int. J. Digit. Earth, 2016

SmartScape™: A web-based decision support system for assessing the tradeoffs among multiple ecosystem services under crop-change scenarios.

Amin Tayyebi, Timothy D. Meehan, Jeffrey Dischler, Gary Radloff, Michael Ferris, Claudio Gratton

Comput. Electron. Agric., 2016

2014

Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster-vector routines with remote sensing and GIS.

Amin Tayyebi, Phillips Christian Perry, Amir Hossein Tayyebi

Int. J. Geogr. Inf. Sci., 2014

Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world.

Amin Tayyebi, Bryan C. Pijanowski, Marc Linderman, Claudio Gratton

Environ. Model. Softw., 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) environment.

Bryan C. Pijanowski, Amin Tayyebi, Jarrod Doucette, Burak K. Pekin, David Braun, James Plourde

Environ. Model. Softw., 2014

Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools.

Amin Tayyebi, Bryan C. Pijanowski

Int. J. Appl. Earth Obs. Geoinformation, 2014