Publications by Matthew Pawlenko
GEOG-586 Term Project
Abstract Hurricanes are one of the most destructive weather events that we face. From 1980 to 2021 it is estimated that hurricanes caused an $1.1 trillion in damage, averaging approximately $20.5 billion per storm (NOAA, n.d.), and with a changing climate also exists the potential for an increase in hurricane intensity, frequency, or both, whic...
31274 sym R (12204 sym/22 pcs) 12 img
GEOG-588 Term Project - Va Beach Transportation Network Analysis
Abstract Flooding is a common natural disaster which can impact communities across the nation and is particularly common to coastal communities at threat from tropical systems, such as hurricanes. In the event of a flood, to ensure safety of life, it is critical communities and individuals understand and know evacuation routes; however, it is ...
41955 sym R (18141 sym/36 pcs) 19 img
Graduate Degrees in Illinois
Examining Graduate Degrees in Illinois Introduction For this portion of the lab, I elected to examine the percentage of population in Illinois with graduate degrees. The data was gathered at the county level using tidycensus from 2017-2021. Data Preparation The first step, as with any R project, is to load the relevant packages. # Loading Pack...
2626 sym R (1421 sym/6 pcs) 1 img
Disabled Veterans in Va Beach, VA
Disabled Veterans in Virginia Beach, VA Introduction For this part of the lab, I elected to examine the population of disabled veterans living in Virginia Beach, VA. To help narrow down which variable to examine from the ACS, I went to CensusReporter.org’s website and pulled up their Table Codes, which deciphered the codes available in the A...
2634 sym R (15369 sym/7 pcs)
GEOG 588 - Lab 4 Tornadoes in Oklahoma
Loading Packages and Reading in Data # Load Packages ---- library(sf) library(ggplot2) library(dplyr) library(tidyr) library(RColorBrewer) library(cowplot) library(units) library(here) # Load Data ---- okcounty <- st_read(here("data", "ok_counties.shp"), quiet = TRUE) tpoint <- st_read(here("data", "o...
2509 sym R (5907 sym/11 pcs) 3 img
GEOG 588 - Lab 4 Chicago Landmarks
Chicagoland Landmarks For this lab, I once again used data from the Chicago Open Data Portal. This time, I examined landmarks throughout the city. With this data, I was able to create a map depicting locations of landmarks throughout the city color coded by the decade in which they were officially desginated as a landmark. Additional info for e...
2891 sym R (3366 sym/6 pcs)
Hardship in Chicagoland Areas based on Language
Communities, Language, and Hardship Chicagoland is a unique and diverse metropolis, made up of various regions, which consist of a number of neighborhoods. Figure 1. Chicagoland Communities by Region, image courtesy of Wikipedi and reporduced for educational purposes only (https://en.wikipedia.org/wiki/Community_areas_in_Chicago#/media/File:Chic...
7625 sym R (5700 sym/6 pcs) 6 img 1 tbl