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نمایش تعداد 1-9 از 9

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

نوع: Journal Paper

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

سال: 2018

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

نوع: Journal Paper

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

سال: 2018

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

نوع: Journal Paper

نویسنده : Jamal Jokar Arsanjani; Amin Tayyebi; Eric Vaz

سال: 2016

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

نوع: Journal Paper

نویسنده : Amin Tayyebi; Bryan Christopher Pijanowski; Burak Pekin

ناشر: Elsevier Science

سال: 2011

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

نوع: Journal Paper

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

ناشر: Elsevier Science

سال: 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

نوع: Journal Paper

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

سال: 2014

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

نوع: Journal Paper

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

سال: 2017

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

نوع: Journal Paper

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

سال: 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

نوع: Journal Paper

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

سال: 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