Výsledky vyhledávání - "Amir Hossein Tayyebi"

Assessing uncertainty dimensions in land-use change models: using swap and multiplicative error models for injecting attribute and positional errors in spatial data

Autor: Amir Hossein Tayyebi, Amin Tayyebi, Nitin Khanna

Publikováno v: International Journal of Remote Sensing. 35:149-170

Assessing errors and uncertainties in land-use change LUCH models is important because these are an unavoidable part of geospatial data and spatially explicit models. Urban planners, decision-makers, and managers need to carefully consider the effect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::794498d39ed0ba8fcf27cd667259e1b3
https://doi.org/10.1080/01431161.2013.866293

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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

Autor: Amir Hossein Tayyebi, Amin Tayyebi, Phillips Christian Perry

Publikováno v: International Journal of Geographical Information Science. 28:639-659

This paper presents an urban growth boundary model UGBM which utilizes spatial logistic regression SLR, remote sensing, and GIS to simulate the differentially expanding geometry of a dynamic urban boundary over decadal time periods. SLR is used as th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48cf5d84e3a36d42d8d30abfcb1e1eb8
https://doi.org/10.1080/13658816.2013.845892

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FSAUA:A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps

Autor: Jamal Jokar Arsanjani, Hichem Omrani, Hossein Shafizadeh Moghadam, Amin Tayyebi, Amir Hossein Tayyebi

Publikováno v: Tayyebi, A, Tayyebi, A H, Arsanjani, J J, Moghadam, H S & Omrani, H 2016, ' FSAUA : A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps ', Environmental Modelling & Software, vol. 84, pp. 70-84 . https://doi.org/10.1016/j.envsoft.2016.06.018

Land change modelers often create future maps using reference land use map. However, future land use maps may mislead decision-makers, who are often unaware of the sensitivity and the uncertainty in land use maps due to error in data. Since most metr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822b7bfbde71f56c259505e5fccecf8b
https://vbn.aau.dk/da/publications/bb710517-d7af-4d53-bdd7-bf657c5a829b

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Group-based crop change planning:Application of SmartScape™ spatial decision support system for resolving conflicts

Autor: Hossein Shafizadeh Moghadam, Amin Tayyebi, Amir Hossein Tayyebi, Hichem Omrani, Jamal Jokar Arsanjani

Publikováno v: Tayyebi, A, Arsanjani, J J, Tayyebi, A H, Omrani, H & Moghadam, H S 2016, ' Group-based crop change planning : Application of SmartScape™ spatial decision support system for resolving conflicts ', Ecological Modelling, vol. 333, pp. 92-100 . https://doi.org/10.1016/j.ecolmodel.2016.04.018

Agricultural changes are complex and managing an appropriate type of crop change to satisfy stakeholders with various interests is challenging. Decisions regarding a crop change need to be debated among multiple stakeholders with various conflicting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb1dba2d6b07d930f1ad36d1958c5000
https://vbn.aau.dk/da/publications/85018913-a3ba-42dd-9993-91d743660458

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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

Autor: Hichem Omrani, Bryan C. Pijanowski, Amin Tayyebi, Burak K. Pekin, Amir Hossein Tayyebi

Publikováno v: Journal of Environmental Informatics.

Land-use legacies, the effects of past land use changes (LUCs) on current social and biophysical processes, can persist for hundreds to thousands of years. Although spatial and temporal data are currently available at a continental scale, they are li

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::198cbe665c1ce863050895328ab6118f
https://doi.org/10.3808/jei.201600349

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

Autor: Bryan C. Pijanowski, Amin Tayyebi, Amir Hossein Tayyebi

Publikováno v: Landscape and Urban Planning. 100:35-44

Urban growth boundaries (UGBs) are common tools employed by planners to constrain urban expansion in order to increase density of urban services and protect surrounding rural landscapes. Planners could use models that estimate future urban growth bou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2c4e11f226a913f74cedc26557c098d
https://doi.org/10.1016/j.landurbplan.2010.10.007

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A Spatial Logistic Regression Model for Simulating Land Use Patterns: A Case Study of the Shiraz Metropolitan Area of Iran

Autor: Mohammad Javad Yazdanpanah, Sara Saeedi, Bryan C. Pijanowski, Amir Hossein Tayyebi, Amin Tayyebi, Mahmoud Reza Delavar

Publikováno v: Advances in Earth Observation of Global Change ISBN: 9789048190843

Changes in global land cover and land use are occurring at a rate, magnitude, and spatial extent unprecedented in human history. Land use and land cover change is one of the most important components and major causes to global environmental changes.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e43b6195688f398be0cc83be40854745
https://doi.org/10.1007/978-90-481-9085-0_3

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