- Title
- Land Use Land Cover Change (2050, Scenario A1)
- License
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International (CC BY-NC-ND 4.0)
-
+ Copy and redistribute the material in any medium or format.
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+ You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ For more info see https://creativecommons.org/licenses/by-nc-nd/4.0/. - Abstract
Description: To simulate future land use and land cover changes (A1 scenario - business as usual) (land_2050_A1) we applied the Cellular Automata (in the Environmental system modelling platform Dinamica EGO 5.0) using a set of drivers of drivers of change (see dataset below) and land use data (1990 and 2018).
- Publication Date
- Oct. 7, 2021, 6:15 p.m.
- Type
- Raster Data
- Keywords
- Drivers of Change , Future , Scenario
- Category
- Drivers of Change
- Drivers of Change
- Regions
- Lithuania
- Owner
- Geoadmin
- Maintenance Frequency
- There Are No Plans To Update The Data
- Restrictions
- All restrictions and limitations are applied based on Creative Commons (CC BY 4.0) licencing policy.
- Language
- English
- Data Quality
- Population density (OSP, 2020) Dwellings density (OSP, 2020) Distance to main roads https://www.registrucentras.lt/ Distance to urban areas (EEA, 2018) Distance to building areas https://www.registrucentras.lt/ Distance to coastline (EEA, 2018) Slope https://land.copernicus.eu/ Land fragmentation (EEA, 2018) Flood areas (10 years return period) http://gamta.lt/ Turbines (Buffer area 440 m around the turbines sanitarian zones-no construction) https://lvea.lt/ Protected areas https://vstt.lrv.lt/ National parks https://vstt.lrv.lt/ References: EEA, 2018. Corine Land Cover [WWW Document]. URL https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 Gomes, E., Inácio, M., Bogdzevič, K., Kalinauskas, M., Karnauskaitė, D., Pereira, P., 2021. Future scenarios impact on land use change and habitat quality in Lithuania. Environ. Res. 197, 111101. https://doi.org/https://doi.org/10.1016/j.envres.2021.111101 OSP, 2020. Official Statistics Portal [WWW Document]. URL https://osp.stat.gov.lt/.
- Supplemental Information
No information provided
- Spatial Representation Type
- grid data is used to represent geographic data
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