Analyzing NYC Climate Projections: Extreme Events and Sea Level Rise

In nycOpenData: Convenient Access to NYC Open Data API Endpoints

Introduction

This vignette demonstrates how to use the nyc_events_sealevel function to explore projected extreme climate events and sea level rise for New York City.

The dataset provides projections under different climate scenarios, including: - Number of heatwaves per year - Cooling and heating degree days - Projected sea level rise

Researchers, city planners, and policymakers can use this information to understand future climate risks, prepare for extreme weather events, and plan adaptation strategies.

Load the Package

library(nycOpenData)
library(dplyr)
library(ggplot2)
library(knitr)

Retrive a Sample of Data

sample_data <- nyc_events_sealevel(limit = 10)
sample_data

This code retrieves 10 rows of data from NYC Open Data endpoint for extreme events and sea level rise projections.

Summarize Key Metrics

summary_table <- sample_data %>%
  select(period, number_of_heatwaves_year, cooling_degree_days, heating_degree_days) %>%
  head(10)
summary_table

• Period=climate period (e.g., "Baseline", "2030s")
• number_of_heatwaves_year=projected heatwaves per year
• cooling_degree_days/heating_degree_days=metrics of temperature extremes

This table gives a quick overview of projected extreme events for different scenarios.

Visualization

ggplot(sample_data, aes(x = period, y = as.numeric(number_of_heatwaves_year))) +
  geom_col() +
  labs(
    title = "Projected Number of Heatwaves by Scenario",
    x = "Climate Scenario",
    y = "Number of Heatwaves"
  ) +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))

This plot shows how the number of heatwaves is projected to change across scenarios. It helps visualize future climate risks at glance.

nycOpenData documentation built on Feb. 15, 2026, 1:07 a.m.