- Title
- Wind energy (Potential)
- Abstract
Wind energy was measured using the annual average wind velocity (1971-2000) data from Worldclim (1km resolution). Using Zonal statistics, the index calculated was extracted at eldership level (average). Classes were carried out according to natural breaks interval.
Annual average wind velocity data from:
http://worldclim.org/version2
- 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/. - Creation Date
- Nov. 29, 2019, 12:19 a.m.
- Type
- Vector Data
- Keywords
- Energy Wind
- Category
- Provisioning ES
- Provisioning ES
- 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
- 5007410.627196370000000
- Extension x1
- 5379898.071361700000000
- Extension y0
- 3507288.183361670000000
- Extension y1
- 3800198.821424790000000
- Maintenance Frequency
- Frequency Of Maintenance For The Data Is Not Known
- Restrictions
- All restrictions and limitations are applied based on Creative Commons (CC BY 4.0) licencing policy.
- Language
- English
- Data Quality
- Annual average wind velocity data from: http://worldclim.org/version2 Reference: Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology. 37, 4302-4315.
- Supplemental Information
No information provided
- Spatial Representation Type
- vector data is used to represent geographic data
- Name
- Geoadmin
- m.kalinauskas@mruni.eu
- Position
- Organization
- Location
- Voice
- Fax
- Link Online
- /layers/geonode:WEld
- Metadata Page
- /layers/geonode:WEld/metadata_detail
- OGC WFS: geonode Service
- Geoservice OGC:WFS
- OGC WMS: geonode Service
- Geoservice OGC:WMS
- Name
- Geoadmin
- m.kalinauskas@mruni.eu
- Position
- Organization
- Location
- Voice
- Fax