--- title: 'Mapping land use data' date: "`r Sys.Date()`" output: rmarkdown::html_vignette urlcolor: blue vignette: > %\VignetteIndexEntry{Mapping land use data} %\VignetteEngine{knitr::rmarkdown} \usepackage[utf8]{inputenc} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = identical(tolower(Sys.getenv("NOT_CRAN")), "true"), out.width = "100%" ) ``` Spatial distribution of activities and urban services ```{r, message = FALSE, eval = TRUE} # load libraries library(aopdata) library(data.table) library(ggplot2) library(sf) library(scales) ``` **Download land use data** ```{r, message = FALSE, eval = TRUE} # download aop data df <- read_landuse(city='Fortaleza', year=2019, geometry = T, showProgress = F) ``` **Map jobs** Spatial distribution of jobs ```{r, message = FALSE, eval = TRUE} ggplot() + geom_sf(data=df, aes(fill=T001), color=NA, alpha=.9) + scale_fill_distiller(palette = "YlOrRd", direction = 1) + labs(title='Spatial distribution of jobs', fill="N. of jobs") + theme_void() ``` **Map Schools** Spatial distribution of elementary schools ```{r, message = FALSE, eval = TRUE} ggplot() + geom_sf(data=df, aes(fill=factor(E003)), color=NA, alpha=.9) + scale_fill_brewer(palette = "PuBuGn", direction = 1) + labs(title='Spatial distribution of elementary schools', fill="N. of schools") + theme_void() ``` **Map Hospitals** Spatial distribution of high-complexity health care facilities ```{r, message = FALSE, eval = TRUE} ggplot() + geom_sf(data=df, aes(fill=factor(S004)), color=NA, alpha=.9) + scale_fill_brewer(palette = "YlGnBu", direction = 1)+ labs(title='Spatial distribution of hospitals', fill="N. of hospitals") + theme_void() ``` **Map Centers for social assistance (CRAS)** Spatial distribution of CRAS facilities ```{r, message = FALSE, eval = TRUE} ggplot() + geom_sf(data=df, aes(fill=factor(C001)), color=NA, alpha=.9) + scale_fill_brewer(palette = "RdPu", direction = 1)+ labs(title='Spatial distribution of CRAS facilities', fill="N. of CRAS") + theme_void() ```