Land-use allocation/Description: Difference between revisions
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The suitability assessment includes data on two biophysical determinants: the potential yield which covers effects of climate and soil ([[Crop and grass]]), and the terrain slope index ([[IIASA, 2012]]) based on [[HasAcronym::SRTM]] elevation data (Shuttle Radar Topography Mission) from NASA. Two socio-economic determinants are included: population density ([[Klein Goldewijk et al., 2010]]), and the accessibility index from JRC ([[Nelson, 2008]]), which is defined as minutes travel time to major cities (>50,000 inhabitants). | The suitability assessment includes data on two biophysical determinants: the potential yield which covers effects of climate and soil ([[Crop and grass]]), and the terrain slope index ([[IIASA, 2012]]) based on [[HasAcronym::SRTM]] elevation data (Shuttle Radar Topography Mission) from NASA. Two socio-economic determinants are included: population density ([[Klein Goldewijk et al., 2010]]), and the accessibility index from JRC ([[Nelson, 2008]]), which is defined as minutes travel time to major cities (>50,000 inhabitants). | ||
These four independent variables are used in multiple linear regression analysis to investigate the relationship between these land-use determinants and current land use (fractions of crop and grassland in 2005 from [[Klein Goldewijk et al., 2011 | These four independent variables are used in multiple linear regression analysis to investigate the relationship between these land-use determinants and current land use (fractions of crop and grassland in 2005 from [[Klein Goldewijk et al., 2011]]). The analysis is performed separately for each IMAGE region, and takes into account the logarithmic relationship found for all independent variables except for potential crop yield. | ||
For each region, between two and four variables are found to be significant explanatory factors for 2005 land use. For example, population density is a significant determinant in almost all regions. Terrain slope is a key determinant in many regions, including North America, Europe and Asia; accessibility in South America, Africa and Australia; and potential yield in the Americas, Europe and North Africa. | For each region, between two and four variables are found to be significant explanatory factors for 2005 land use. For example, population density is a significant determinant in almost all regions. Terrain slope is a key determinant in many regions, including North America, Europe and Asia; accessibility in South America, Africa and Australia; and potential yield in the Americas, Europe and North Africa. | ||
Revision as of 14:11, 5 May 2014
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