FINAL PROJECT 2 __MARIO VALLEJO
Mario Vallejo
2023-12-03
knitr::opts_chunk$set(echo = TRUE)
#Project 2
library(sf)## Linking to GEOS 3.11.2, GDAL 3.6.2, PROJ 9.2.0; sf_use_s2() is TRUElibrary(tigris)## To enable caching of data, set `options(tigris_use_cache = TRUE)`
## in your R script or .Rprofile.library(tmap)## The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,
## which was just loaded, will retire in October 2023.
## Please refer to R-spatial evolution reports for details, especially
## https://r-spatial.org/r/2023/05/15/evolution4.html.
## It may be desirable to make the sf package available;
## package maintainers should consider adding sf to Suggests:.
## The sp package is now running under evolution status 2
## (status 2 uses the sf package in place of rgdal)## Breaking News: tmap 3.x is retiring. Please test v4, e.g. with
## remotes::install_github('r-tmap/tmap')library(tidycensus)
library(raster)## Loading required package: splibrary(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:raster':
##
## intersect, select, union## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union#Q1
var=c('B03002_012E','B03002_003E','B03002_004E','B03002_006E','B01001_001E')
Victoria_segregation <- get_acs(geography = "tract", variables = var, county = "Victoria",
state = "TX",output="wide", 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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|======================================================================| 100%names(Victoria_segregation)[3] <- 'Hispanic'
tm_shape(Victoria_segregation) +
tm_fill(col = "Hispanic",legend.hist = TRUE)+
tm_layout(title = "Hispanic Pop")+
tm_layout(legend.outside = TRUE,frame = FALSE)
#Q2 Border Census Tracts
tm_shape(Victoria_segregation) +
tm_fill(col = "Hispanic",legend.hist = TRUE)+
tm_layout(title = "Hispanic Pop")+
tm_borders(alpha=.4) +
tm_layout(legend.outside = TRUE,frame = FALSE)
#Q3 Compass and Scale Bar
tm_shape(Victoria_segregation) +
tm_fill(col = "Hispanic",legend.hist = TRUE)+
tm_layout(title = "Hispanic Pop")+
tm_borders(alpha=.4) +
tm_compass(type = "8star",
position = c("RIGHT", "BOTTOM"),
show.labels = 2,
text.size = 0.6) +
tm_layout(legend.outside = TRUE,frame = FALSE)+
tm_scale_bar(position = c("RIGHT", "BOTTOM"))
#Q4 Color Intervals
tm_shape(Victoria_segregation) +
tm_fill(col = "Hispanic",palette = "Reds", legend.hist = TRUE)+
tm_layout(title = "Hispanic Pop")+
tm_borders(alpha=.4) +
tm_compass(type = "8star",
position = c("RIGHT", "BOTTOM"),
show.labels = 2,
text.size = 0.6) +
tm_layout(legend.outside = TRUE,frame = FALSE)+
tm_scale_bar(position = c("RIGHT", "BOTTOM"))+
#5 Interactive Map
tm_shape(Victoria_segregation) +
tm_fill(col = "Hispanic",palette = "Reds", legend.hist = TRUE)+
tm_layout(title = "Hispanic Pop")+
tm_borders(alpha=.4) +
tm_compass(type = "8star",
position = c("RIGHT", "BOTTOM"),
show.labels = 2,
text.size = 0.6) +
tm_layout(legend.outside = TRUE,frame = FALSE)+
tm_scale_bar(position = c("RIGHT", "BOTTOM"))+
tmap_mode("view")## tmap mode set to interactive viewing## Compass not supported in view mode.#6 Find county shapefile creating skeleton of county , base layer
library(tigris)
Victoria_ct <-tracts(state = "TX", county = "Victoria",cb=T)## Retrieving data for the year 2021# 7 Find any point shapefile data within the county and make a map with census tract as the background
Vic_Points<-st_read(dsn="C:/Users/Mario/Documents/Wei CLASS Folder/VIC_points/poi_point.shp")## Reading layer `poi_point' from data source
## `C:\Users\Mario\Documents\Wei CLASS Folder\VIC_points\poi_point.shp'
## using driver `ESRI Shapefile'
## Simple feature collection with 150 features and 22 fields
## Geometry type: POINT
## Dimension: XY
## Bounding box: xmin: -97.19454 ymin: 28.56333 xmax: -96.79105 ymax: 29.0672
## Geodetic CRS: WGS 84tm_shape(Victoria_ct) +
tm_borders() + # Add borders for polygons (customize as needed)
tm_shape(Vic_Points) +
tm_dots(size = 0.02, col = "red", alpha = 0.7) + # Customize point appearance
tm_basemap() +
tm_layout(title = "Victoria County Points of Interest", frame = FALSE)# 8 Find any line shapefile data within the county and make a map with census tract as the background
# Sent separatly
# 9 Find any polygon shapefile data within the county and make a map with census tract as the background (2').
# I could not find a polygon shapefile for Victoria County.
# 10 Over-Lay function 533:29 22:10 27:30
Vic_ct2<-st_transform(Victoria_ct,crs = 4326)
Vic_points2<- st_transform(Vic_Points,crs = 4326)
landmark_Vic_ct <- st_intersection(Vic_points2, Vic_ct2)## Warning: attribute variables are assumed to be spatially constant throughout
## all geometries#11 Get Digital Elevation Model (DEM) data of a selected area of the county through this video:
#C:/Users/Mario/Documents/Wei CLASS Folder/Victoria Dem File
#12 Read the DEM data and get the min and max of elevations (2').
DEM_Vic <- raster('C:/Users/Mario/Documents/Wei CLASS Folder/Victoria Dem File.tif')
DEM_Vic <- setMinMax(DEM_Vic)
cellStats(DEM_Vic, max)## [1] 172.27cellStats(DEM_Vic, min)## [1] -0.2327512#13 Make a map that shows areas with elevation lower than 350m (1').
plot(DEM_Vic < 350, main = "Elevation criteria",
col = c("#ffffff", "#0000ff"))
#14 Make a map that shows the slop degree of topography map is less than 3 (1').
plot(terrain(DEM_Vic, opt = "slope", unit = "degrees") < 3,
main = "Slope criteria",
col = c("#ffffff", "#ff9900"))
#15 Make a map that shows the aspect criteria of topography map is less than between 22.5 and 157.5 (2').
plot(terrain(DEM_Vic, opt = "aspect", unit = "degrees") > 22.5 &
terrain(DEM_Vic, opt = "aspect", unit = "degrees") < 157.5,
main = "Aspect criteria")