| 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 | 315 | 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 | 295 | 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 | 200 | 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 | 192 | 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 | 142 | 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 | 125 | 2009 |
| 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 | 107 | 2014 |
| 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 | 105 | 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 | 103 | 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 | 99 | 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 | 87 | 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 | 87 | 2016 |
| 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 | 82 | 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 | 79 | 2013 |
| 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 | 79 | 2011 |
| 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 | 74 | 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 | 71 | 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 | 69 | 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 | 66 | 2010 |
| Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth H Shafizadeh-Moghadam, A Tayyebi, M Ahmadlou, MR Delavar, ... Computers, Environment and Urban Systems 65, 28-40, 2017 | 64 | 2017 |
Bryan PijanowskiProfessor of Landscape Ecology, Purdue UniversityDirección de correo verificada de purdue.edu
