LandScan 2019 global population database
Abstract/Contents
- Abstract
- At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region.
Description
| Type of resource | mixed material |
|---|---|
| Form | electronic resource; optical disc; map; computer |
| Extent | 1 online resource |
| Place | Minnesota |
| Place | Minneapolis, MN |
| Publisher | East View Cartographic, Inc. |
| Date created | 2020 |
| Other date | 2020 (distribution) |
| Language | English |
| Map data | Scale not given ; W 180°--E 180°/N 84°--S 90° |
Creators/Contributors
| Associated with | Oak Ridge National Laboratory |
|---|---|
| Associated with | East View Cartographic, Inc |
Subjects
| Subject | Population > Earth (Planet) > Statistics > Databases |
|---|---|
| Subject | Population geography > Maps |
| Subject | Population |
| Subject | Population geography |
| Genre | Computer dataset |
| Genre | Cartographic dataset |
| Genre | Geospatial data |
| Genre | Geodatabases |
| Genre | Statistics |
| Genre | Geographic information systems data |
Bibliographic information
| Note | Title from disk surface |
|---|---|
| Note | Developed by Oak Ridge National Laboratory. |
| Location | https://purl.stanford.edu/sf070gk5151 |
| Location | View this collection in EarthWorks |
Access conditions
- Use and reproduction
- These data are licensed by Stanford Libraries and are available to Stanford University affiliates only. Affiliates are limited to current faculty, staff and students. Non affiliates seeking access should contact the publisher directly. These data may not be reproduced or used for any purpose without permission.
- Copyright
- Copyright ownership resides with the originator.