Amin Tayyebi, Ph.D.
Amin Tayyebi, Ph.D.
Director of Data Science and Machine Learning
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Citata da
Citata da
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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