ICAR Research Data Repository for Knowledge Management
Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Tunisia, Algeria and Morocco
MELDATA Dataverse OAI Archive
View Archive Info| Field | Value | |
| Title |
Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Tunisia, Algeria and Morocco
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| Identifier |
https://hdl.handle.net/20.500.11766.1/FK2/AO9GYD
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| Creator |
Le, Quang Bao
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| Publisher |
MELDATA
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| Description |
The dataset contains pixel-based data of variables for Tunisia, Algeria and Morocco. Each data record (i.e. each row) is corresponding to one pixel of approximately 1 km2. The longitude and latitude coordinates of the pixel center (in decimal degree, GCS WGS 1984 datum) are the X and Y variables, respectively. Using these spatial coordinates of the pixels, the data represented in the file, or newly computed data from the data file, can be re-imported to a standard GIS software like ArcGIS (one raster layer is corresponding to one variable). For all variables, the value of -9999 indicates “no data”.
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| Subject |
Agricultural Sciences
multisource data integration rangeland and livestock productivity socio-ecological context socio-ecological drivers livestock density spatially explicit pixel-based multi-variate data |
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| Language |
English
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| Date |
2018-12-15
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| Contributor |
Pietro Bartolini (International Center for Agricultural Research in the Dry Areas - ICARDA)
Quang Bao Le (International Center for Agricultural Research in the Dry Areas - ICARDA) Deutsche Gesellschaft für Internationale Zusammenarbeit - GIZ Quang Bao Le (International Center for Agricultural Research in the Dry Areas - ICARDA) |
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