- Title
- Land Use Land Cover Change (2050, Scenario A0)
- Abstract
To simulate future land use and land cover changes (A0 scenario - business as usual) (land_2050_A0) 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).
- 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.
+ You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+ You may not use the material for commercial purposes.
+ If you remix, transform, or build upon the material, you may not distribute the modified material.
+ 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/. - Publication Date
- Oct. 7, 2021, 6:08 p.m.
- Type
- Raster Data
- Keywords
- Drivers of Change Future Scenario
- Category
- Drivers of Change
- Drivers of Change
- Regions
- Lithuania
- Approved
- Yes
- Published
- Yes
- Featured
- No
- Name
- Geoadmin
- m.kalinauskas@mruni.eu
- Position
- Organization
- Location
- Voice
- Fax
- Identification Image
-
- Spatial Extent
- ---
- Projection System
- EPSG:3035
- Extension x0
- 5007467.275708700000000
- Extension x1
- 5379867.275708700000000
- Extension y0
- 3507268.796000000000000
- Extension y1
- 3800168.796000000000000
- 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
- Datasets: Population density (OSP, 2020) Dwellings density (OSP, 2020) Farms density (OSP, 2020) Utilised agricultural area 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) 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
- Name
- Geoadmin
- m.kalinauskas@mruni.eu
- Position
- Organization
- Location
- Voice
- Fax
- Link Online
- /layers/geonode:land_2050_A0
- Metadata Page
- /layers/geonode:land_2050_A0/metadata_detail
- OGC WCS: geonode Service
- Geoservice OGC:WCS
- OGC WMS: geonode Service
- Geoservice OGC:WMS
- Name
- Geoadmin
- m.kalinauskas@mruni.eu
- Position
- Organization
- Location
- Voice
- Fax