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Texas A&M University College of Architecture

Here you will find data that underlie most of our research. We typically do not publish a dataset at the same time as the research reports, articles, and other publications. The lag time varies by study. That’s because it takes some time for us to complete all reporting for a given study and to prepare the data for public release and secondary investigations. For more information on how to use our datasets, contact us at with any questions.

Any opinions, findings, and conclusions or recommendations expressed in this content are those of the authors and do not necessarily reflect the views of the sponsors.

I. COVID-19 in Brazos County

We should look at our data

Graphs and charts can allow exploration and learn further about information collected. A good visualization of data can also facilitate the communication of findings to others. The goal in this work is to show in an alternative way to the official reports how the cases and fatalities of COVID-19 are developing at the county level. In this way, we hope to enhance communication to the public.

For that, this work will use only the data gathered over time from the Brazos County Health District daily reports, published on their own website and on their official twitter account, and open source data visualization tools, such as R and some extension libraries like ggplot. Which means, this work is freely available and "open" to anyone interested in implementing it, and also allows replicability and reproducibility.

The graphs below reflect the data collected from Sat Mar 28, 2020 until Mon Jul 06, 2020. We hope to update the data at least once a week. Suggestions and comments are welcome! You can reach us at


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II. The Adoption and Utilization of Hazard Mitigation Practices by Jurisdictions along Gulf and Atlantic Coasts

These datasets are part of the results of the NSF project “The Adoption and Utilization of Hazard Mitigation Practices by Jurisdictions along Gulf and Atlantic Coasts”. The geo-processing occurred between 12/2017 and 01/2018, however the source of the data can be older than that, as 2005. Eventually, when the data receives updates on their source, efforts will be taken to these be reflected here. The work was developed utilizing open source software (such as R, Geometry Engine Open Source (RGEOS), Bindings for the Geospatial Data Abstraction Library (RGDAL), QGIS, LibreOffice, FileZilla, among others). The script developed will be available soon (expected date: Fall 2018).


  Coming soon!


  Coming soon!

Integrated example

Aransas county, TX (FIPS 48007)


Last Updated: July 6, 2020 by Alexander Abuabara

Suggestions and comments are welcome!

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