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|Resource type:||Composite Resource|
|Storage:||The size of this resource is 7.4 KB|
|Created:||Mar 05, 2019 at 9:04 p.m.|
|Last updated:|| Mar 05, 2019 at 9:14 p.m.
|Citation:||See how to cite this resource|
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The US Census Bureau provides a large collection of data files, some of which are encoded separately or do not have an obvious means to integrate. Suppose that the files are located and need to be integrated to make some data-driven decisions using Census population estimates. The resultant files may be very useful to explore, but the user wants to get into visual representation and start considering things spatially and temporally. In this resource, the Jupyter notebook walks through a set of operations created to integrate Census population estimates with the known ESRI shapefile for the equivalent county-scales.
|The content of this resource is derived from||https://www.hydroshare.org/resource/0a613cda3ce34454ba6cacfc2c2d530d/|
|Title||Owners||Sharing Status||My Permission|
|Hurricane Maria 2017 Collection||Christina Bandaragoda · Graciela Ramirez-Toro||Public & Shareable||Open Access|
|Hurricane Maria 2017 Collection||Nathan Kim||Private & Shareable||None|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|National Science Foundation||Building Infrastructure to Prevent Disasters like Hurricane Maria||1810647|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/