library(sf)
## Warning: package 'sf' was built under R version 4.4.2
## Linking to GEOS 3.12.2, GDAL 3.9.3, PROJ 9.4.1; sf_use_s2() is TRUE
library(tmap)
## Breaking News: tmap 3.x is retiring. Please test v4, e.g. with
## remotes::install_github('r-tmap/tmap')
library(tidycensus)
## Warning: package 'tidycensus' was built under R version 4.4.2
library(tigris)
## To enable caching of data, set `options(tigris_use_cache = TRUE)`
## in your R script or .Rprofile.

#Q1

bexar_ct <- tracts(state = "TX", county = "Bexar",)
## Retrieving data for the year 2022
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bond_program_line <- st_read("C:/Users/witht/Documents/2024MethodsI/A4/BondProjectLines2017/BondProjectLines2017.shp")
## Reading layer `BondProjectLines2017' from data source 
##   `C:\Users\witht\Documents\2024MethodsI\A4\BondProjectLines2017\BondProjectLines2017.shp' 
##   using driver `ESRI Shapefile'
## Simple feature collection with 69 features and 24 fields
## Geometry type: MULTILINESTRING
## Dimension:     XY
## Bounding box:  xmin: 2078269 ymin: 13665110 xmax: 2168346 ymax: 13783530
## Projected CRS: NAD83 / Texas South Central (ftUS)
tm_shape(bexar_ct)+
  tm_borders()+
  tm_shape(bond_program_line)+
  tm_lines(col= "green")

#Q2

libraries <- st_read("C:/Users/witht/Documents/2024MethodsI/A4/libraries/libraries.shp")
## Reading layer `Libraries' from data source 
##   `C:\Users\witht\Documents\2024MethodsI\A4\Libraries\Libraries.shp' 
##   using driver `ESRI Shapefile'
## Simple feature collection with 30 features and 9 fields
## Geometry type: POINT
## Dimension:     XY
## Bounding box:  xmin: 2075828 ymin: 13669570 xmax: 2170361 ymax: 13779280
## Projected CRS: NAD83 / Texas South Central (ftUS)
tmap_mode("view")
## tmap mode set to interactive viewing
tm_shape(bexar_ct)+
  tm_borders()+
  tm_shape(libraries)+
  tm_dots(col="red")

#Q3

census_api_key("be13863f38ebdc792d7bf1fdbd7f8089b2a708f2", install = FALSE)
## To install your API key for use in future sessions, run this function with `install = TRUE`.
var<- c(poptotal2="B17017_001E",
        poverty="B17017_002E")

st<- "TX"
ct<- "Travis"

cbg<- get_acs(geography = "block group", variables = var, county = ct, state = st, output ="wide", year = 2021, geometry = TRUE)
## Getting data from the 2017-2021 5-year ACS
## Downloading feature geometry from the Census website.  To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
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cbg$poverty_rate <- cbg$poverty/cbg$poptotal2

tm_shape(cbg)+
  tm_polygons(col="poverty_rate",
              palette ="RdYlGn")

#Q4

bexar_ct<-st_transform(bexar_ct,crs = 4326)
libraries<-st_transform(libraries,crs = 4326)

library_ct<-st_intersection(libraries, bexar_ct)
## Warning: attribute variables are assumed to be spatially constant throughout
## all geometries