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Amin Tayyebi, Ph.D. - Publications

Affiliations: 
2013 Forestry and Natural Resources Purdue University, West Lafayette, IN, United States 
Area:
Civil Engineering, Computer Science, Urban and Regional Planning
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36 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Heidarlou HB, Shafiei AB, Erfanian M, Tayyebi A, Alijanpour A. Underlying driving forces of forest cover changes due to the implementation of preservation policies in Iranian northern Zagros forests International Forestry Review. 22: 241-256. DOI: 10.1505/146554820829403531  0.362
2020 Heidarlou HB, Shafiei AB, Erfanian M, Tayyebi A, Alijanpour A. Land Cover Changes In Northern Zagros Forests (Nw Iran) Before And During Implementation Of Energy Policies Journal of Sustainable Forestry. 1-15. DOI: 10.1080/10549811.2020.1747026  0.421
2020 Heidarlou HB, Shafiei AB, Erfanian M, Tayyebi A, Alijanpour A. Armed conflict and land-use changes: Insights from Iraq-Iran war in Zagros forests Forest Policy and Economics. 118: 102246. DOI: 10.1016/J.Forpol.2020.102246  0.473
2019 Beygi Heidarlou H, Banj Shafiei A, Erfanian M, Tayyebi A, Alijanpour A. Effects of preservation policy on land use changes in Iranian Northern Zagros forests Land Use Policy. 81: 76-90. DOI: 10.1016/J.Landusepol.2018.10.036  0.498
2018 Smidt SJ, Tayyebi A, Kendall AD, Pijanowski BC, Hyndman DW. Agricultural implications of providing soil-based constraints on urban expansion: Land use forecasts to 2050. Journal of Environmental Management. 217: 677-689. PMID 29654971 DOI: 10.1016/J.Jenvman.2018.03.042  0.628
2018 Tayyebi A, Jenerette GD. Assessing diel urban climate dynamics using a land surface temperature harmonization model International Journal of Remote Sensing. 39: 3010-3028. DOI: 10.1080/01431161.2018.1437292  0.428
2018 Tayyebi A, Shafizadeh-Moghadam H, Tayyebi AH. Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran Land Use Policy. 71: 459-469. DOI: 10.1016/J.Landusepol.2017.11.023  0.485
2018 Minaei M, Shafizadeh-Moghadam H, Tayyebi A. Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran Land Degradation & Development. 29: 2854-2863. DOI: 10.1002/Ldr.3007  0.455
2017 Shafizadeh-Moghadam H, Tayyebi A, Helbich M. Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation. Environmental Monitoring and Assessment. 189: 300. PMID 28555438 DOI: 10.1007/S10661-017-5986-3  0.549
2017 Tayyebi A, Smidt S, Pijanowski B. Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010–2050 Data. 2: 16. DOI: 10.3390/DATA2020016  0.574
2017 Shafizadeh-Moghadam H, Asghari A, Taleai M, Helbich M, Tayyebi A. Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata Giscience & Remote Sensing. 54: 639-656. DOI: 10.1080/15481603.2017.1309125  0.499
2017 Omrani H, Tayyebi A, Pijanowski B. 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 Giscience & Remote Sensing. 54: 283-304. DOI: 10.1080/15481603.2016.1265706  0.649
2017 Shafizadeh-Moghadam H, Tayyebi A, Ahmadlou M, Delavar MR, Hasanlou M. Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth Computers, Environment and Urban Systems. 65: 28-40. DOI: 10.1016/J.Compenvurbsys.2017.04.011  0.483
2017 Shafizadeh-Moghadam H, Asghari A, Tayyebi A, Taleai M. Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth Computers, Environment and Urban Systems. 64: 297-308. DOI: 10.1016/J.Compenvurbsys.2017.04.002  0.592
2016 Tayyebi A, Darrel Jenerette G. Increases in the climate change adaption effectiveness and availability of vegetation across a coastal to desert climate gradient in metropolitan Los Angeles, CA, USA. The Science of the Total Environment. 548: 60-71. PMID 26799808 DOI: 10.1016/J.Scitotenv.2016.01.049  0.452
2016 Ahmadlou M, Delavar MR, Shafizadeh-Moghadam H, Tayyebi A. Modeling Urban Dynamics Using Random Forest: Implementing Roc And Toc For Model Evaluation Isprs - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 285-290. DOI: 10.5194/Isprs-Archives-Xli-B2-285-2016  0.57
2016 Tayyebi A, Tayyebi Ah, Pekin Bk, Omrani H, Pijanowski B. Modeling Historical Land Use Changes at A Regional Scale: Applying Quantity and Locational Error Metrics to Assess Performance of An Artificial Neural Network Based Back-Cast Model Journal of Environmental Informatics. 31: 74-86. DOI: 10.3808/Jei.201600349  0.745
2016 Jokar Arsanjani J, See L, Tayyebi A. Assessing the suitability of GlobeLand30 for mapping land cover in Germany International Journal of Digital Earth. 9: 873-891. DOI: 10.1080/17538947.2016.1151956  0.451
2016 Azari M, Tayyebi A, Helbich M, Reveshty MA. Integrating cellular automata, artificial neural network, and fuzzy set theory to simulate threatened orchards: Application to Maragheh, Iran Giscience and Remote Sensing. 53: 183-205. DOI: 10.1080/15481603.2015.1137111  0.355
2016 Tayyebi A, Vaz E, Arsanjani JJ, Helbich M. Analyzing crop change scenario with the SmartScape™ spatial decision support system Land Use Policy. 51: 41-53. DOI: 10.1016/J.Landusepol.2015.11.002  0.382
2016 Jokar Arsanjani J, Tayyebi A, Vaz E. GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries Habitat International. 55: 25-31. DOI: 10.1016/J.Habitatint.2016.02.003  0.475
2016 Tayyebi A, Tayyebi AH, Arsanjani JJ, Moghadam HS, Omrani H. FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps Environmental Modelling and Software. 84: 70-84. DOI: 10.1016/J.Envsoft.2016.06.018  0.413
2016 Tayyebi A, Arsanjani JJ, Tayyebi AH, Omrani H, Moghadam HS. Group-based crop change planning: Application of SmartScape™ spatial decision support system for resolving conflicts Ecological Modelling. 333: 92-100. DOI: 10.1016/J.Ecolmodel.2016.04.018  0.347
2016 Tayyebi A, Meehan TD, Dischler J, Radloff G, Ferris M, Gratton C. SmartScape™: A web-based decision support system for assessing the tradeoffs among multiple ecosystem services under crop-change scenarios Computers and Electronics in Agriculture. 121: 108-121. DOI: 10.1016/J.Compag.2015.12.003  0.412
2015 Ahmadlou M, Delavar MR, Tayyebi A, Shafizadeh-Moghadam H. Using Multivariate Adaptive Regression Spline And Artificial Neural Network To Simulate Urbanization In Mumbai, India Isprs - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 31-36. DOI: 10.5194/Isprsarchives-Xl-1-W5-31-2015  0.56
2015 Song W, Pijanowski BC, Tayyebi A. Urban expansion and its consumption of high-quality farmland in Beijing, China Ecological Indicators. 54: 60-70. DOI: 10.1016/J.Ecolind.2015.02.015  0.643
2015 Tayyebi A, Pijanowski BC, Pekin BK. 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 Applied Geography. 57: 100-111. DOI: 10.1016/J.Apgeog.2014.12.020  0.718
2014 Tayyebi AH, Tayyebi A, Khanna N. Assessing uncertainty dimensions in land-use change models: Using swap and multiplicative error models for injecting attribute and positional errors in spatial data International Journal of Remote Sensing. 35: 149-170. DOI: 10.1080/01431161.2013.866293  0.411
2014 Tayyebi A, Pijanowski BC. Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools International Journal of Applied Earth Observation and Geoinformation. 28: 102-116. DOI: 10.1016/J.Jag.2013.11.008  0.738
2014 Tayyebi A, Pijanowski BC, Linderman M, Gratton C. Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world Environmental Modelling and Software. 59: 202-221. DOI: 10.1016/J.Envsoft.2014.05.022  0.754
2014 Pijanowski BC, Tayyebi A, Doucette J, Pekin BK, Braun D, Plourde J. 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 Environmental Modelling & Software. 51: 250-268. DOI: 10.1016/J.Envsoft.2013.09.015  0.559
2013 Tayyebi A, Pekin BK, Pijanowski BC, Plourde JD, Doucette JS, Braun D. Hierarchical modeling of urban growth across the conterminous USA: developing meso-scale quantity drivers for the Land Transformation Model Journal of Land Use Science. 8: 422-442. DOI: 10.1080/1747423X.2012.675364  0.707
2013 Tayyebi A, Perry PC, Tayyebi AH. Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS International Journal of Geographical Information Science. 28: 639-659. DOI: 10.1080/13658816.2013.845892  0.516
2011 Tayyebi A, Pijanowski BC, Tayyebi AH. An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran Landscape and Urban Planning. 100: 35-44. DOI: 10.1016/J.Landurbplan.2010.10.007  0.713
2011 Tayyebi A, Pijanowski BC, Pekin B. Two rule-based Urban Growth Boundary Models applied to the Tehran Metropolitan Area, Iran Applied Geography. 31: 908-918. DOI: 10.1016/J.Apgeog.2011.01.018  0.724
2009 Pijanowski BC, Tayyebi A, Delavar MR, Yazdanpanah MJ. Urban Expansion Simulation Using Geospatial Information System And Artificial Neural Networks International Journal of Environmental Research. 3: 493-502. DOI: 10.22059/Ijer.2010.64  0.721
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