Land Surface Temperature of Dallas

library(sf)

## Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; 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(tigris)

## To enable caching of data, set `options(tigris_use_cache = TRUE)`
## in your R script or .Rprofile.

storm_channels <-st_read("/users/jayjay/Downloads/StormChannels/StormChannels.shp")

## Reading layer `StormChannels' from data source 
##   `/Users/jayjay/Downloads/StormChannels/StormChannels.shp' using driver `ESRI Shapefile'
## Simple feature collection with 12042 features and 17 fields
## Geometry type: MULTILINESTRING
## Dimension:     XY
## Bounding box:  xmin: 2024999 ymin: 13600410 xmax: 2249487 ymax: 13824430
## Projected CRS: NAD83 / Texas South Central (ftUS)

corridor_plan <-st_read("/users/jayjay/Downloads/CorridorPlans/CorridorPlans.shp")

## Reading layer `CorridorPlans' from data source 
##   `/Users/jayjay/Downloads/CorridorPlans/CorridorPlans.shp' using driver `ESRI Shapefile'
## Simple feature collection with 12 features and 4 fields
## Geometry type: POLYGON
## Dimension:     XY
## Bounding box:  xmin: 2058688 ymin: 13665110 xmax: 2178301 ymax: 13793820
## Projected CRS: NAD83 / Texas South Central (ftUS)

storm_channels <-st_transform(storm_channels, crs = 4326)
corridor_plan <-st_transform(corridor_plan, crs = 4326)

#Q2
intersected_channels <-st_intersection(storm_channels, corridor_plan)

## Warning: attribute variables are assumed to be spatially constant throughout
## all geometries

#Q3
bexar_ct <-tracts(state = "tx", county= "Bexar", cb=T)

## Retrieving data for the year 2022

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tm_shape(bexar_ct)+
  tm_borders()+
  tm_shape(intersected_channels)+
  tm_lines(col = "blue")

#Q4
library(raster)

## Loading required package: sp

LST <- raster("/users/jayjay/Downloads/LC09_028040_20230826.tif")

#Q5
LST <-setMinMax(LST)
LST <-LST - 273.15

cellStats(LST,max)

## [1] 61.28771

plot(LST, main="Land Surface Temperature of Dallas")

#Q6
plot(LST > 40, main= "LST40",
     col = c("#ffffff", "#0000ff"))