UNDERGRADUATE RESEARCH EXPERIENCE (REU), NHERI 2019: A DATA PROCESSING FRAMEWORK FOR THE ADVANCEMENT OF HURRICANE DEBRIS MODELING

Rebeca Molina; Catalina Gonzalez; Jamie Padgett

doi:10.17603/ds2-tzhh-7w14

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PRJ-2499 | UNDERGRADUATE RESEARCH EXPERIENCE (REU), NHERI 2019: A DATA PROCESSING FRAMEWORK FOR THE ADVANCEMENT OF HURRICANE DEBRIS MODELING

Cite This Data:

Molina, R., C. Gonzalez, J. Padgett (2019). UNDERGRADUATE RESEARCH EXPERIENCE (REU), NHERI 2019: A DATA PROCESSING FRAMEWORK FOR THE ADVANCEMENT OF HURRICANE DEBRIS MODELING. DesignSafe-CI. https://doi.org/10.17603/ds2-tzhh-7w14

Authors	; ;
Data Type(s)	None
Date of Publication	2019-08-12
Facilities
Awards	National Science Foundation (NSF) \| NSF-CMMI-1612144I
Keywords	Data Processing, Python, automatize, GIS software, modeling, debris, framework, open source, datasets, georeferencing
DOI	10.17603/ds2-tzhh-7w14
License	Open Data Commons Attribution

Description:

I spent the summer at Rice working on python scripting within an open source visualization software to automatize loading and editing large hurricane debris datasets.