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library(shiny) | |
library(spdep) | |
library(leaflet) | |
library(RColorBrewer) | |
atx <- readRDS('travis.rds') | |
atx$id <- 1:nrow(atx) | |
atx2 <- atx[!is.na(atx$income), ] | |
atx2$id <- 1:nrow(atx2) | |
# Queen's case spatial weights | |
aq <- poly2nb(atx, row.names = atx$GEOID) | |
# Rook's case spatial weights | |
ar <- poly2nb(atx, queen = FALSE, row.names = atx$GEOID) | |
ui <- fluidPage( | |
sidebarLayout( | |
sidebarPanel( | |
radioButtons('radio', label = 'Select a neighborhood type:', | |
choices = list("Queen's case contiguity" = 1, "Rook's case contiguity" = 2, | |
'K-nearest neighbors' = 3, 'Distance' = 4), | |
selected = 1), | |
conditionalPanel( | |
condition = "input.radio == 3", | |
sliderInput("knn_slider", 'Select number of neighbors', | |
min = 1, max = 217, value = 8) | |
), | |
conditionalPanel( | |
condition = "input.radio == 4", | |
sliderInput("dist_slider", "Select a distance threshold in km", | |
min = 0.1, max = 30, step = 0.1, value = 1) | |
) | |
), | |
mainPanel( | |
tabsetPanel( | |
tabPanel("Neighbors illustration", | |
leafletOutput("map", width = '100%', height = 800)), | |
tabPanel("Example: income clustering", | |
leafletOutput("gimap", width = "100%", height = 800)) | |
) | |
))) | |
server <- function(input, output) { | |
output$map <- renderLeaflet({ | |
map <- leaflet(atx) %>% | |
addProviderTiles('CartoDB.Positron') %>% | |
addPolygons(layerId = ~id, fillColor = 'transparent', | |
color = 'blue', weight = 0.5, smoothFactor = 0.1) | |
map | |
}) | |
click_tract <- eventReactive(input$map_shape_click, { | |
return(input$map_shape_click$id) | |
}) | |
focal_tract <- reactive({ | |
req(click_tract()) | |
return(atx[atx$id == click_tract(), ]) | |
}) | |
# Distance-based spatial weights | |
knn <- reactive({ | |
if (input$radio == 3) { | |
k <- knearneigh(coordinates(atx), k = input$knn_slider, longlat = TRUE) | |
return(k$nn) | |
} else { | |
return(NULL) | |
} | |
}) | |
dist <- reactive({ | |
if (input$radio == 4) { | |
return(dnearneigh(coordinates(atx), 0, input$dist_slider, longlat = TRUE)) | |
} else { | |
return(NULL) | |
} | |
}) | |
neighbors <- reactive({ | |
req(click_tract()) | |
if (input$radio == 1) { | |
return(atx[atx$id %in% aq[[click_tract()]], ]) | |
} else if (input$radio == 2) { | |
return(atx[atx$id %in% ar[[click_tract()]], ]) | |
} else if (input$radio == 3) { | |
v <- knn()[click_tract(), ] | |
return(atx[atx$id %in% v, ]) | |
} else if (input$radio == 4) { | |
v <- dist()[[click_tract()]] | |
if (v == 0) { | |
return(NULL) | |
} else { | |
return(atx[atx$id %in% v, ]) | |
} | |
} | |
}) | |
observe({ | |
req(click_tract()) | |
proxy <- leafletProxy('map') | |
if (!is.null(neighbors())) { | |
proxy %>% | |
removeShape('focal') %>% | |
clearGroup('neighbors') %>% | |
addPolygons(data = neighbors(), fill = FALSE, color = '#FFFF00', | |
group = 'neighbors', opacity = 1) %>% | |
addPolygons(data = focal_tract(), color = '#00FFFF', | |
opacity = 1, layerId = 'focal', fillColor = 'transparent') | |
} else { | |
proxy %>% | |
removeShape('focal') %>% | |
clearGroup('neighbors') %>% | |
addPolygons(data = focal_tract(), color = '#00FFFF', | |
opacity = 1, layerId = 'focal', fillColor = 'transparent') | |
} | |
}) | |
# Getis-Ord map | |
tract_weights <- reactive({ | |
if (input$radio == 1) { | |
return(nb2listw(include.self(poly2nb(atx2)))) | |
} else if (input$radio == 2) { | |
return(nb2listw(include.self(poly2nb(atx2, queen = FALSE)))) | |
} else if (input$radio == 3) { | |
k <- knearneigh(coordinates(atx2), k = input$knn_slider, longlat = TRUE) | |
return(nb2listw(include.self(knn2nb(k)))) | |
} else if (input$radio == 4) { | |
d <- dnearneigh(coordinates(atx2), 0, input$dist_slider, longlat = TRUE) | |
return(nb2listw(include.self(d))) | |
} | |
}) | |
gi_data <- reactive({ | |
g <- localG(atx2$income, tract_weights()) | |
atx2$g <- g | |
return(atx2) | |
}) | |
output$gimap <- renderLeaflet({ | |
cols <- rev(brewer.pal(7, 'RdBu')) | |
pal <- colorBin(palette = cols, domain = gi_data()$g, | |
bins = c(min(gi_data()$g), -2.58, -1.96, -1.65, | |
1.65, 1.96, 2.58, max(gi_data()$g))) | |
popup <- paste0("<strong>Median income:</strong> $", | |
as.character(gi_data()$income), | |
"<br/>", | |
"<strong>Gi* z-score:</strong> ", | |
as.character(round(gi_data()$g, 2))) | |
gimap <- leaflet(gi_data()) %>% | |
addProviderTiles('CartoDB.Positron') %>% | |
addPolygons(data = gi_data(), fillColor = ~pal(g), weight = 0.7, fillOpacity = 0.8, | |
popup = popup, smoothFactor = 0.1, | |
color = 'black') %>% | |
addLegend(pal = pal, values = gi_data()$g, title = "Gi* z-score") | |
gimap | |
}) | |
} | |
# Run the application | |
shinyApp(ui = ui, server = server) | |
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library(tigris) | |
library(acs14lite) | |
set_api_key("Your Census API key here") | |
atx <- tracts('TX', 'Travis') | |
inc <- acs14(geography = 'tract', variable = 'B19013_001E', | |
state = 'TX', county = 'Travis') | |
inc$GEOID <- paste0(inc$state, inc$county, inc$tract) | |
atx <- geo_join(atx, inc, by = 'GEOID') | |
atx$income <- atx$B19013_001E | |
saveRDS(atx, 'travis.rds') |
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