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Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

Type: Journal Paper

Author : Masoud Minaei; Hossein Shafizadeh-Moghadam; Amin Tayyebi

Year: 2018

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Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

Type: Journal Paper

Author : Masoud Minaei; Hossein Shafizadeh-Moghadam; Amin Tayyebi

Year: 2018

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GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries

Type: Journal Paper

Author : Jamal Jokar Arsanjani; Amin Tayyebi; Eric Vaz

Year: 2016

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Two rule-based Urban Growth Boundary Models applied to the Tehran Metropolitan Area, Iran

Type: Journal Paper

Author : Amin Tayyebi; Bryan Christopher Pijanowski; Burak Pekin

Publisher: Elsevier Science

Year: 2011

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An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran

Type: Journal Paper

Author : Amin Tayyebi; Bryan Christopher Pijanowski; Amir Hossein Tayyebi

Publisher: Elsevier Science

Year: 2011

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Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS

Type: Journal Paper

Author : Amin Tayyebi; Phillips Christian Perry; Amir Hossein Tayyebi

Year: 2014

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Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth

Type: Journal Paper

Author : Hossein Shafizadeh-Moghadam; Amin Tayyebi; Mohammad Ahmadlou; Mahmoud Reza Delavar; Mahdi Hasanlou

Year: 2017

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Analyzing crop change scenario with the SmartScape™ spatial decision support system

Type: Journal Paper

Author : Amin Tayyebi; Amirhossein Tayyebi; Eric Vaz; Jamal Jokar Arsanjani; Marco Helbich

Year: 2016

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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

Type: Journal Paper

Author : Bryan C. Pijanowski; Amin Tayyebi; Jarrod Doucette; Burak K. Pekin; David Braun; James Plourde

Year: 2014

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Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries

Two rule-based Urban Growth Boundary Models applied to the Tehran Metropolitan Area, Iran

An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran

Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS

Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth

Analyzing crop change scenario with the SmartScape™ spatial decision support system

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

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Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries

Two rule-based Urban Growth Boundary Models applied to the Tehran Metropolitan Area, Iran

An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran

Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS

Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth

Analyzing crop change scenario with the SmartScape™ spatial decision support system

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