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1. Snapshot of Japan 2016-2018 Web Archive [2016 - 2018]
- Description
- Archive/Manuscript — 156 digital items
- Summary
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The web archive Snapshot of Japan 2016-2018 was an experiment in a "snapshot" approach to archiving websites. It aimed to provide a glimpse at this three-year period by preserving a wide range of issues deemed critical for future scholars to understand contemporary society. Websites were selected after a review of current trends in Japanese studies and attending to reoccurring themes in various media outlets. The sites that were chosen represented a variety of institutional types, were actively updated, had some geographical dispersion over Japan, and fell outside of other web archiving efforts. The general and sub-categories are listed below.
- Also online at
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2. East View LandScan global 2012 [2013]
- [Oak Ridge, Tennessee] : [Oak Ridge National Laboratory, [2013]
- Description
- Map — 1 online resource : color.
- Summary
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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.
Earth Sciences Library (Branner)
Earth Sciences Library (Branner) | Status |
---|---|
Media | |
HA155 .L36 2012 | Unknown |
- Also online at
3. East View LandScan global 2011 [2012]
- [Oak Ridge, TN. : Oak Ridge National Laboratory, 2012]
- Description
- Dataset — 1 online resource.
- Summary
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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.
- Also online at