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# DasyPop | ||
# DasyPop: A Dasymetric Population Map Based on US Census Data and 30-m Gridded Estimates of Impervious Surface | ||
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This code repository will accompany a publication in *Scientific Data*. | ||
This code repository accompanies a dataset and article published in *Scientific Data*. | ||
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**Insert citation and DOI here when available** | ||
Authors: | ||
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- Rachel Swanwick (SESYNC; University of Vermont) | ||
- Quentin D. Read (SESYNC; USDA Agricultural Research Service) | ||
- Steven Guinn (UMCES IAN) | ||
- Matt Williamson (Boise State University) | ||
- Kelly L. Hondula (SESYNC; Battelle, National Ecological Observatory Network) | ||
- Andrew Elmore (UMCES; SESYNC) | ||
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## Contents | ||
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The code is in three Markdown notebooks: | ||
The code is in three Markdown notebooks containing a combination of R code and Bash commands: | ||
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- `dasypop_methods.md`: the code to generate dasymetric population estimates by county | ||
- `validation_figure.md`: uses the estimates generated in the previous notebook and compares their performancem against other existing estimates using flood and wildfire risk data | ||
- `validation_figure.md`: uses the estimates generated in the previous notebook and compares their performance against other existing estimates using flood and wildfire risk data | ||
- `methods_figure.md`: generates a figure illustrating the estimation process | ||
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## How to run | ||
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See the individual notebooks for instructions on how to run the code and download the necessary external data. The code in the `dasypop_methods.md` notebook should be run first. | ||
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*Last updated by QDR, 25 October 2021* | ||
## Recommended citation | ||
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### Code | ||
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Swanwick, R. H., Q. D. Read, S. Guinn, M. Williamson, K. L. Hondula, and A. Elmore. 2021. Code accompanying "DasyPop: A Dasymetric Population Map Based on US Census Data and 30-m Gridded Estimates of Impervious Surface." | ||
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### Dataset and article | ||
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Citation will be included here when the dataset and article are accepted for publication. | ||
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*Last updated by QDR, 02 December 2021* |