Gridded maps of building patterns - Google (BCB), Algeria
The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84.
Building metrics are calculated based on the pixel in which their respective centroids are located (Building Centroid Based – BCB method)
- _buildings_count_BCB_ - The value of each grid cell represents the counts of buildings within the cells, based on BCB method.
- _buildings_cv_area_BCB_ - The value of each grid cell represents the grid cell level coefficient of variation of building areas for all buildings inside a grid cell, based on the BCB method.
- _buildings_cv_length_BCB_ - The value of each grid cell represents the coefficient of variation of building lengths (perimeter) for all buildings inside a grid cell, based on the BCB mrthod.
- _buildings_mean_area_BCB_ - The value of each grid cell represents the mean area of all buildings whose centroids are within the respective grid cells, based on the BCB method.
- _buildings_mean_length_BCB_ - The value of each grid cell represents the mean perimeter length of all the buildings inside a grid cell, based on the BCB method.
- _buildings_total_area_BCB_ - The value of each grid cell represents the total building footprint area within respective grid cells, based on the BCB method.
- _buildings_total_length_BCB_ - The value of each grid cell represents the total building footprint area within respective grid cells, based on the BCB method.
Data Source
Sirko, W. et al. (2021). Continental-Scale Building Detection from High Resolution Satellite Imagery. arXiv:2107.12283. https://ui.adsabs.harvard.edu/abs/2021arXiv210712283S.
Region : Algeria
DOI : 10.5258/SOTON/WP00772
Date of production : 2024-01-01
Recommended citation
D. Woods, T. McKeen, A. Cunningham, R. Priyatikanto, A. Sorichetta , A.J. Tatem and M. Bondarenko. 2024 "WorldPop high resolution, harmonised annual global geospatial covariates. Version 1.0." University of Southampton: Southampton, UK. DOI:10.5258/SOTON/WP00772
Data Files :
| Name | Size |
|---|---|
| dza_buildings_count_BCB_gl_100m_v1_1.tif | 10.52 MB |
| dza_buildings_cv_area_BCB_gl_100m_v1_1.tif | 16.35 MB |
| dza_buildings_cv_length_BCB_gl_100m_v1_1.tif | 16.40 MB |
| dza_buildings_density_BCB_gl_100m_v1_1.tif | 21.76 MB |
| dza_buildings_mean_area_BCB_gl_100m_v1_1.tif | 21.39 MB |
| dza_buildings_mean_length_BCB_gl_100m_v1_1.tif | 20.93 MB |
| dza_buildings_total_area_BCB_gl_100m_v1_1.tif | 21.76 MB |
| dza_buildings_total_length_BCB_gl_100m_v1_1.tif | 21.57 MB |
WorldPop datasets are available under the Creative Commons Attribution 4.0 International License. This means that you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially, provided attribution is included (appropriate credit and a link to the licence).
WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.
WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.