Amin Tayyebi, Ph.D.
Amin Tayyebi, Ph.D.
Director of Data Science and Machine Learning
Verified email at
Cited by
Cited by
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
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
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
Urban expansion and its consumption of high-quality farmland in Beijing, China
W Song, BC Pijanowski, A Tayyebi
Ecological Indicators 54, 60-70, 2015
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
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
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
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
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
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
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
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
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
Effects of preservation policy on land use changes in Iranian northern Zagros forests
HB Heidarlou, AB Shafiei, M Erfanian, A Tayyebi, A Alijanpour
Land Use Policy 81, 76-90, 2019
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
Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran
A Tayyebi, H Shafizadeh-Moghadam, AH Tayyebi
Land Use Policy 71, 459-469, 2018
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20