Amin Tayyebi, Ph.D.
Amin Tayyebi, Ph.D.
Data Science Manager
Verified email at exeloncorp.com
Title
Cited by
Cited by
Year
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 …
BC Pijanowski, A Tayyebi, J Doucette, BK Pekin, D Braun, J Plourde
Environmental Modelling and Software 51, 250-268, 2014
2232014
An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran
A Tayyebi, BC Pijanowski, AH Tayyebi
Landscape and Urban Planning 100 (1-2), 35-44, 2011
2012011
Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools
A Tayyebi, BC Pijanowski
International Journal of Applied Earth Observation and Geoinformation 28 …, 2014
1452014
Urban expansion and its consumption of high-quality farmland in Beijing, China
W Song, BC Pijanowski, A Tayyebi
Ecological Indicators 54, 60-70, 2015
1212015
Urban expansion simulation using geospatial information system and artificial neural networks
BC Pijanowski, A Tayyebi, MR Delavar, MJ Yazdanpanah
International Journal of Environmental Research 3 (4), 493-502, 2009
1092009
Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world
A Tayyebi, BC Pijanowski, M Linderman, C Gratton
Environmental Modelling and Software 59, 202-221, 2014
922014
Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS
A Tayyebi, PC Perry, AH Tayyebi
International Journal of Geographical Information Science 28 (4), 639-659, 2014
802014
Hierarchical modeling of urban growth across the conterminous USA: Developing meso-scale quantity drivers for the Land Transformation Model
A Tayyebi, BK Pekin, BC Pijanowski, JD Plourde, JS Doucette, D Braun
Journal of Land Use Science 8 (4), 422-442, 2013
692013
Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth
H Shafizadeh-Moghadam, A Asghari, A Tayyebi, M Taleai
Computers, Environment and Urban Systems 64, 297-308, 2017
682017
GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries
JJ Arsanjani, A Tayyebi, E Vaz
Habitat International 55, 25-31, 2016
662016
Two rule-based urban growth boundary models applied to the Tehran Metropolitan Area, Iran
A Tayyebi, BC Pijanowski, B Pekin
Applied Geography 31 (3), 908-918, 2011
622011
Increases in the climate change adaption effectiveness and availability of vegetation across a coastal to desert climate gradient in metropolitan Los Angeles, CA, USA
A Tayyebi, GD Jenerette
Science of the Total Environment 548, 60-71, 2016
582016
SmartScape™: A web-based decision support system for assessing the tradeoffs among multiple ecosystem services under crop-change scenarios
A Tayyebi, TD Meehan, J Dischler, G Radloff, M Ferris, C Gratton
Computers and Electronics in Agriculture 121, 108-121, 2016
532016
Land use legacies of the Ohio River Basin: Using a spatially explicit land use change model to assess past and future impacts on aquatic resources
A Tayyebi, BC Pijanowski, BK Pekin
Applied Geography 57, 100-111, 2015
522015
Assessing uncertainty dimensions in land-use change models: Using swap and multiplicative error models for injecting attribute and positional errors in spatial data
AH Tayyebi, A Tayyebi, N Khanna
International Journal of Remote Sensing 35 (1), 149-170, 2014
522014
Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: An integrated ML-CA-LTM modeling framework
H Omrani, A Tayyebi, B Pijanowski
GIScience and Remote Sensing 54 (3), 283-304, 2017
502017
A spatial logistic regression model for simulating land use patterns: A case study of the Shiraz Metropolitan area of Iran
A Tayyebi, MR Delavar, MJ Yazdanpanah, BC Pijanowski, S Saeedi, ...
Advances in Earth Observation of Global Change, 27-42, 2010
482010
Integrating cellular automata, artificial neural network, and fuzzy set theory to simulate threatened orchards: Application to Maragheh, Iran
M Azari, A Tayyebi, M Helbich, MA Reveshty
GIScience and Remote Sensing 53 (2), 183-205, 2016
432016
Assessing the suitability of GlobeLand30 for mapping land cover in Germany
J Jokar Arsanjani, L See, A Tayyebi
International Journal of Digital Earth 9 (9), 873-891, 2016
382016
Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata
H Shafizadeh-Moghadam, A Asghari, M Taleai, M Helbich, A Tayyebi
GIScience and Remote Sensing 54 (5), 639-656, 2017
362017
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