RPl-Ida

Contributors

• Elise Chan*, elisec@middlebury.edu, @eliseylchan, Middlebury College

* Corresponding author and creator

Abstract

This study is a replication of Professor Holler's study of Twitter activity during Hurricane Dorian in 2019, instead analyzing Twitter activity during Hurricane Ida in 2021. To assess Twitter activity, the study uses tweets with keywords related to the hurricane during this time period in the eastern United States. Tweets are analyzed for temporal distribution, networks, text content, and spatial distribution. Holler (2019) developed a Normalized Difference Tweet Index (NDTI) to measure relative abundance of tweets about a hurricane event in each county, normalizing by the number of non-hurricane tweets in each county. Due to changes in Twitter's API availability that prevented new Twitter data from being collected for this study, this replication study uses county population to calculate the tweet rate for NDTI. To determine hotspots of Twitter activity, the study uses the Getis Ord G* method. Additional deviations from Holler (2019) include visualizing the geographic area of the search queries, using all counties that fall within the search area, and improving visualizations of analyses.

This study is a replication of:

https://github.com/GIS4DEV/OR-Dorian

Study Metadata

• Key words: hurricane, Ida, Twitter
• Subject: Geography: Nature and Society Relations
• Date created: 11/28/2023
• Date modified: 12/18/2023
• Spatial Coverage: Specify the geographic extent of your study. This may be a place name and link to a feature in a gazetteer like GeoNames or OpenStreetMap, or a well known text (WKT) representation of a bounding box.
• Spatial Resolution: Specify the spatial resolution as a scale factor, description of the level of detail of each unit of observation (including administrative level of administrative areas), and/or or distance of a raster GRID size
• Spatial Reference System: Specify the geographic or projected coordinate system for the study
• Temporal Coverage: Specify the temporal extent of your study---i.e. the range of time represented by the data observations.
• Temporal Resolution: Specify the temporal resolution of your study---i.e. the duration of time for which each observation represents or the revisit period for repeated observations

Related to

• OSF Project:
• Pre-analysis Registration:
• Post-analysis Report Registration:
• Preprint:
• Conference Presentation:
• Publication:
• Prior Study: https://github.com/GIS4DEV/OR-Dorian
• ...:

Metadata for access

• Rights: LICENSE: BSD 3-Clause "New" or "Revised"
• Resource type: Collection
• Resource language: English
• Conforms to: Template for Reproducible and Replicable Research in Human-Environment and Geographical Sciences version 1.0, DOI:10.17605/OSF.IO/W29MQ

Compendium structure and contents

This research compendium is structured with four main directories:

• data: contains subdirectories for raw data and derived data.
• docs: contains subdirectories for manuscript, presentation, and report
• procedure: contains subdirectories for code or software scripts, information about the computational environment in which the research was conducted, and non-code research protocols
• results: contains subdirectories for figures, formatted data tables, or other formats of research results.

The data, procedures, and results of this repository are outlined in three tables:

• Data: data/data_index.csv
• Procedures: procedure/procedure_index.csv
• Results: results/results_index.csv

Important local documents include:

• Pre-analysis plan: docs/report/preanalysis.pdf
• Study report: docs/report/report.pdf
• Manuscript: docs/manuscript/manuscript.pdf
• Presentation: docs/presentation/presentation.pdf

Compendium reference

The template_readme.md file contains more information on the design of this template and references used in the design. The Template_LICENSE file provides the BSD 3-Clause license for using this template. This template was created by:

Kedron, P., & Holler, J. (2023). Template for Reproducible and Replicable Research in Human-Environment and Geographical Sciences. https://doi.org/10.17605/OSF.IO/W29MQ See template_reference.bib for the template citation.