Primary roads density - GRIP

The Secondary Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the secondary roads component has been extracted. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Citations and acknowledgements of the GRIP dataset should be made as follows: Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006. Data is available at www.globio.info **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters Globio info

The Total Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the total roads component has been extracted. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006. Data is available at www.globio.info **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters Globio info

The Highways Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the highways component has been extracted. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Citations and acknowledgements of the GRIP dataset should be made as follows: Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006. Data is available at www.globio.info **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters Globio info

The Local Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the local roads component has been extracted. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006. Data is available at www.globio.info **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters Globio info

The Tertiary Roads Density raster layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the tertiary roads component has been extracted. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006. Data is available at www.globio.info **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters Globio info

Land area in km² per 5 arcminute cell. This layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the land area component has been extracted.. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Citations and acknowledgements of the GRIP dataset should be made as follows: Meijer, J.R., Huijbegts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006 **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Globio info Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters