| Title |
HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years
|
|---|---|
| Published in |
Scientific Data, September 2018
|
| DOI | 10.1038/sdata.2018.175 |
| Pubmed ID | |
| Authors |
Stefan Leyk, Johannes H. Uhl |
| Abstract |
Human settlement plays a key role in understanding social processes such as urbanization and interactions between human and environmental systems but not much is known about the landscape evolution before the era of operational remote sensing technology. In this study, housing and property databases are used to create new gridded settlement layers describing human settlement processes at fine spatial and temporal resolution in the conterminous United States between 1810 and 2015. The main products are a raster composite layer representing the year of first settlement, and a raster time series of built-up intensity representing the sum of building areas in a pixel. Several accompanying uncertainty surfaces are provided to ensure the user is informed about inherent spatial, temporal and thematic uncertainty in the data. A validation study using high quality reference data confirms high levels of accuracy of the resulting data products. These settlement data will be of great interest in disciplines in which the long-term evolution of human settlement represents crucial information to explore novel research questions. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 25% |
| United Kingdom | 2 | 13% |
| Réunion | 1 | 6% |
| Austria | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 88% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Researcher | 9 | 20% |
| Other | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Professor > Associate Professor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 17% |
| Earth and Planetary Sciences | 7 | 15% |
| Environmental Science | 5 | 11% |
| Agricultural and Biological Sciences | 5 | 11% |
| Chemical Engineering | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 13 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2022.
All research outputs
#2,040,807
of 24,119,703 outputs
Outputs from Scientific Data
#811
of 2,827 outputs
Outputs of similar age
#42,897
of 338,907 outputs
Outputs of similar age from Scientific Data
#18
of 67 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.