Analyzing and visualizing geospatial data using RStudio

Geospatial data is crucial in various domains, such as environmental analysis, urban planning, and location-based services. In this section, we will explore the process of importing and exporting geospatial data using R on AWS. We can efficiently handle large-scale geospatial datasets and perform advanced spatial analysis by leveraging the power of R and AWS storage and analytics services. We will cover the steps involved in importing different geospatial data formats, manipulating the data, and exporting the results back to various file formats.

For this example, let’s continue to use the RStudio that was installed on EC2 from the Setting up R and RStudio on EC2 section of this chapter. We will be importing a sample shapefile from NYC OpenData1 and visualizing it:

Install.packages( "tidyverse","sf")
library(tidyverse)
library(sf)
# Specify URL where NYC OpenData shape file is stored
url <-...