Update warmup/app_v1.R

warmup/app_v1.R

@@ -0,0 +1,524 @@
+# setwd("~/Downloads")
+{
+  # app.R
+  options(error = NULL)
+  
+  # ------------------------------
+  # 1. Load Packages
+  # ------------------------------
+  library(shiny)
+  library(shinydashboard)
+  library(leaflet)
+  library(raster)
+  library(DT)
+  library(readr)
+  library(dplyr)    # For data manipulation
+  library(ggplot2) # For histogram
+  library(RColorBrewer)
+  library(sp)      # For handling map clicks/extracting raster values
+  
+  # ------------------------------
+  # 2. Data & Config
+  # ------------------------------
+  
+  # Define time periods corresponding to each band in the GeoTIFF
+  time_periods <- c("1990–1992", "1993–1995", "1996–1998", "1999–2001", "2002–2004",
+                    "2005–2007", "2008–2010", "2011–2013", "2014–2016", "2017–2019")
+  
+  # Load GeoTIFF data (multi-band)
+  wealth_stack <- stack("wealth_map.tif")
+  
+  # Clean up out-of-range values
+  wealth_stack[wealth_stack <= 0 | wealth_stack > 1] <- NA
+  
+  # Load improvement data (change in IWI by state/province)
+  improvement_data <- read_csv("poverty_improvement_by_state.csv")
+  
+  # Pre-calculate the mean IWI for each band (for the "Trends Over Time" chart).
+  band_means <- sapply(seq_len(nlayers(wealth_stack)), function(i) {
+    vals <- values(wealth_stack[[i]])
+    vals <- vals[!is.na(vals)]
+    mean(vals)
+  })
+  
+  # ------------------------------
+  # 3. UI
+  # ------------------------------
+  ui <- dashboardPage(
+    # -- Header
+    dashboardHeader(
+    title = span(
+      style = "font-weight: 600; font-size: 16px;",
+      a(
+        href = "http://aidevlab.org", 
+        "aidevlab.org", 
+        target = "_blank",
+        style = "font-family: 'OCR A Std', monospace; color: white; text-decoration: underline;"
+      )
+     )
+    ),
+    
+    # -- Sidebar
+    dashboardSidebar(
+      sidebarMenu(
+        id = "tabs",
+        menuItem("Wealth Map", tabName = "mapTab", icon = icon("map")),
+        menuItem("Improvement Data", tabName = "improvementTab", icon = icon("table")),
+        menuItem("Trends Over Time", tabName = "trendTab", icon = icon("chart-line"))
+      ),
+      # Show inputs only for the map tab
+      conditionalPanel(
+        condition = "input.tabs == 'mapTab'",
+        br(),
+        # Replaces the old selectInput for time periods with a slider that can animate
+        sliderInput(
+          inputId   = "time_index", 
+          label     = "Select Time Period (Years):",
+          min       = 1, 
+          max       = length(time_periods), 
+          value     = 1,
+          step      = 1,
+          animate   = animationOptions(interval = 1500, loop = TRUE)
+        ),
+        # Show the currently selected year range clearly
+        strong("Currently Selected: "),
+        textOutput("current_year_range", inline = TRUE),
+        br(), br(),
+        
+        selectInput("color_palette", "Select Color Palette:",
+                    choices = c("Viridis" = "viridis", 
+                                "Plasma" = "plasma", 
+                                "Magma"  = "magma",
+                                "Inferno"= "inferno",
+                                "Spectral (Brewer)" = "Spectral"),
+                    selected = "plasma"),
+        sliderInput("opacity", "Map Opacity:", min = 0.2, max = 1, value = 0.8, step = 0.1)
+      ),
+    # ---- Here is the minimal "Share" button HTML + JS inlined in Shiny ----
+    # We wrap it in tags$div(...) and tags$script(HTML(...)) so it is recognized
+    # by Shiny. You can adjust the styling or placement as needed.
+    tags$div(
+      style = "text-align: left; margin: 1em 0 1em 2em;",
+      HTML('
+        <button id="share-button" 
+                style="
+                  display: inline-flex;
+                  align-items: center;
+                  justify-content: center;
+                  gap: 8px; 
+                  padding: 5px 10px;
+                  font-size: 16px;
+                  font-weight: normal;
+                  color: #000;
+                  background-color: #fff;
+                  border: 1px solid #ddd;
+                  border-radius: 6px;
+                  cursor: pointer;
+                  box-shadow: 0 1.5px 0 #000;
+                ">
+          <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" 
+               stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+            <circle cx="18" cy="5" r="3"></circle>
+            <circle cx="6" cy="12" r="3"></circle>
+            <circle cx="18" cy="19" r="3"></circle>
+            <line x1="8.59" y1="13.51" x2="15.42" y2="17.49"></line>
+            <line x1="15.41" y1="6.51" x2="8.59" y2="10.49"></line>
+          </svg>
+          <strong>Share</strong>
+        </button>
+      '),
+      # Insert the JS as well
+      tags$script(
+        HTML("
+          (function() {
+            const shareBtn = document.getElementById('share-button');
+            // Reusable helper function to show a small “Copied!” message
+            function showCopyNotification() {
+              const notification = document.createElement('div');
+              notification.innerText = 'Copied to clipboard';
+              notification.style.position = 'fixed';
+              notification.style.bottom = '20px';
+              notification.style.right = '20px';
+              notification.style.backgroundColor = 'rgba(0, 0, 0, 0.8)';
+              notification.style.color = '#fff';
+              notification.style.padding = '8px 12px';
+              notification.style.borderRadius = '4px';
+              notification.style.zIndex = '9999';
+              document.body.appendChild(notification);
+              setTimeout(() => { notification.remove(); }, 2000);
+            }
+            shareBtn.addEventListener('click', function() {
+              const currentURL = window.location.href;
+              const pageTitle  = document.title || 'Check this out!';
+              // If browser supports Web Share API
+              if (navigator.share) {
+                navigator.share({
+                  title: pageTitle,
+                  text: '',
+                  url: currentURL
+                })
+                .catch((error) => {
+                  console.log('Sharing failed', error);
+                });
+              } else {
+                // Fallback: Copy URL
+                if (navigator.clipboard && navigator.clipboard.writeText) {
+                  navigator.clipboard.writeText(currentURL).then(() => {
+                    showCopyNotification();
+                  }, (err) => {
+                    console.error('Could not copy text: ', err);
+                  });
+                } else {
+                  // Double fallback for older browsers
+                  const textArea = document.createElement('textarea');
+                  textArea.value = currentURL;
+                  document.body.appendChild(textArea);
+                  textArea.select();
+                  try {
+                    document.execCommand('copy');
+                    showCopyNotification();
+                  } catch (err) {
+                    alert('Please copy this link:\\n' + currentURL);
+                  }
+                  document.body.removeChild(textArea);
+                }
+              }
+            });
+          })();
+        ")
+      )
+    )
+    # ---- End: Minimal Share button snippet ----
+    ),
+    
+    # -- Body
+    dashboardBody(
+      tags$head(
+        tags$link(rel = "stylesheet", href = "https://fonts.cdnfonts.com/css/ocr-a-std"),
+        # Make the "play" button whiter/brighter
+        tags$style(HTML("
+        body {
+          font-family: 'OCR A Std', monospace !important;
+        }
+        .slider-animate-button {
+          background-color: #ffffff !important;
+          color: #000000 !important;
+          border: 2px solid #000000 !important;
+          border-radius: 5px !important;
+          padding: 5px 10px !important;
+          top: 10px !important;
+        }
+      "))
+      ),
+      tabItems(
+        # ---------- MAP TAB ----------
+        tabItem(
+          tabName = "mapTab",
+          fluidRow(
+            # Value Boxes across the top for key stats
+            valueBoxOutput("highest_iwi_vb", width = 4),
+            valueBoxOutput("lowest_iwi_vb", width = 4),
+            valueBoxOutput("avg_iwi_vb", width = 4)
+          ),
+          fluidRow(
+            # Map
+            box(
+              title = "Wealth Map of Africa", width = 8, solidHeader = TRUE, status = "primary",
+              leafletOutput("map", height = "550px"),
+              p("Click anywhere on the map to view the time-series of IWI for that specific location (shown below).")
+            ),
+            # Histogram
+            box(
+              title = "IWI Distribution (Selected Period)", width = 4, solidHeader = TRUE, status = "info",
+              plotOutput("iwi_histogram", height = "250px"),
+              p("This histogram shows the distribution of the International Wealth Index (IWI) values for the selected time period across Africa."),
+              br(),
+              strong("Note:"),
+              " Wealth estimates for areas without human settlements have been excluded from the analysis."
+            )
+          ),
+          # Time series at clicked location
+          fluidRow(
+            box(
+              title = "Time Series at Clicked Location", width = 12, solidHeader = TRUE, status = "warning",
+              plotOutput("clicked_ts_plot", height = "300px"),
+              p("Click on the map to see the full IWI time-series (1990–2019) for that location.")
+            )
+          )
+        ),
+        
+        # ---------- IMPROVEMENT DATA TAB ----------
+        tabItem(
+          tabName = "improvementTab",
+          fluidRow(
+            box(
+              width = 12, title = "Poverty Improvement by State", status = "primary", solidHeader = TRUE,
+              p("This table shows the estimated improvement in mean IWI between 1990–1992 and 2017–2019 for each province in Africa. 
+               The 'Improvement' column indicates the change in IWI over this period. You can sort or filter the table, 
+               and use the download button to export the data."),
+              downloadButton("download_data", "Download CSV", icon = icon("download")),
+              br(), br(),
+              DTOutput("improvement_table")
+            )
+          )
+        ),
+        
+        # ---------- TRENDS OVER TIME TAB ----------
+        tabItem(
+          tabName = "trendTab",
+          fluidRow(
+            box(
+              width = 12, title = "Average Wealth Index Across Africa Over Time", status = "success", solidHeader = TRUE,
+              p("This chart aggregates the mean IWI across all of Africa in each of the ten time periods. 
+               It provides a high-level view of how wealth (as measured by IWI) has changed over time."),
+              plotOutput("trend_plot", height = "400px")
+            )
+          )
+        )
+      )
+    )
+  )
+  
+  # ------------------------------
+  # 4. Server
+  # ------------------------------
+  server <- function(input, output, session) {
+    
+    # ReactiveVal to store the time-series of the last clicked point (across all periods).
+    clicked_point_vals <- reactiveVal(NULL)
+    
+    # ----------------------------------
+    # Reactive expression for selected raster layer
+    # ----------------------------------
+    selected_raster <- reactive({
+      req(input$time_index)
+      wealth_stack[[input$time_index]]
+    })
+    
+    # ----------------------------------
+    # Custom color palette function
+    # (reactive to user-selected palette)
+    # ----------------------------------
+    color_pal <- reactive({
+      palette_choice <- switch(
+        input$color_palette,
+        "viridis" = "viridis",
+        "plasma"  = "plasma",
+        "magma"   = "magma",
+        "inferno" = "inferno",
+        # Fallback to a Brewer palette for "Spectral"
+        "Spectral" = "Spectral"
+      )
+      colorNumeric(
+        palette = palette_choice,
+        domain  = c(0, 1),     # Domain for map: 0 to 1
+        na.color = "transparent"
+      )
+    })
+    
+    # ----------------------------------
+    # Display the currently selected time period (year range)
+    # ----------------------------------
+    output$current_year_range <- renderText({
+      time_periods[input$time_index]
+    })
+    
+    # ----------------------------------
+    # 1. MAP OUTPUT
+    # ----------------------------------
+    output$map <- renderLeaflet({
+      # We'll create 5 legend steps: 1, 0.75, 0.5, 0.25, 0
+      legend_values <- seq(1, 0, length.out = 5)
+      
+      leaflet() %>%
+        addProviderTiles(providers$OpenStreetMap) %>%
+        setView(lng = 20, lat = 0, zoom = 3) %>%  # Center on Africa
+        addLegend(
+          position = "bottomright",
+          colors = color_pal()(legend_values),
+          labels = sprintf("%.2f", legend_values),
+          title = "IWI",
+          opacity = 1
+        )
+    })
+    
+    # Redraw the raster when inputs change
+    observeEvent(list(input$time_index, input$color_palette, input$opacity), {
+      leafletProxy("map") %>%
+        clearImages() %>%
+        addRasterImage(
+          selected_raster(),
+          colors  = color_pal(),
+          opacity = input$opacity,
+          project = TRUE
+        )
+    })
+    
+    # ----------------------------------
+    # Handle clicks on the map to show full time-series at that location
+    # ----------------------------------
+    observeEvent(input$map_click, {
+      click <- input$map_click
+      if (!is.null(click)) {
+        lat <- click$lat
+        lng <- click$lng
+        
+        # Convert clicked point to SpatialPoints
+        coords <- data.frame(lng = lng, lat = lat)
+        sp_pt  <- SpatialPoints(coords, proj4string = CRS("+proj=longlat +datum=WGS84 +no_defs"))
+        
+        # Extract values across ALL bands at the clicked location
+        extracted_vals <- raster::extract(wealth_stack, sp_pt)
+        # extracted_vals is a 1x10 matrix if the point is valid
+        if (!is.null(extracted_vals)) {
+          # Convert to numeric vector
+          clicked_point_vals(as.numeric(extracted_vals))
+        } else {
+          # If the point is outside the raster or invalid
+          clicked_point_vals(NULL)
+        }
+      }
+    })
+    
+    # Plot the time-series for the clicked location
+    output$clicked_ts_plot <- renderPlot({
+      vals <- clicked_point_vals()
+      if (is.null(vals)) {
+        # No location clicked yet or invalid click
+        plot.new()
+        title("Click on the map to see the IWI time-series here.")
+        return()
+      }
+      
+      # If user clicked in a region with all NAs, do not plot
+      if (all(is.na(vals))) {
+        plot.new()
+        title("No data at this location. Try another spot.")
+        return()
+      }
+      
+      df <- data.frame(Period = factor(time_periods, levels = time_periods),
+                       IWI    = vals)
+      
+      ggplot(df, aes(x = Period, y = IWI, group = 1)) +
+        geom_line(color = "darkorange", size = 1) +
+        geom_point(color = "darkorange", size = 2) +
+        labs(title = "Time Series of IWI at Clicked Location",
+             x = "Time Period",
+             y = "IWI (0 to 1)") +
+        ylim(0, 1) +
+        theme_minimal(base_size = 14) +
+        theme(axis.text.x = element_text(angle = 45, hjust = 1))
+    })
+    
+    # ----------------------------------
+    # 2. HISTOGRAM OUTPUT (for selected time period)
+    # ----------------------------------
+    output$iwi_histogram <- renderPlot({
+      # Extract raster values for histogram
+      r_vals <- values(selected_raster())
+      r_vals <- r_vals[!is.na(r_vals)]
+      
+      ggplot(data.frame(iwi = r_vals), aes(x = iwi)) +
+        geom_histogram(binwidth = 0.02, fill = "#2c7bb6", color = "white", alpha = 0.7) +
+        labs(x = "IWI (0 to 1)", y = "Frequency") +
+        theme_minimal(base_size = 14)
+    })
+    
+    # ----------------------------------
+    # 3. VALUE BOXES FOR KEY STATS
+    # ----------------------------------
+    # Compute stats for current raster
+    raster_stats <- reactive({
+      r_vals <- values(selected_raster())
+      r_vals <- r_vals[!is.na(r_vals)]
+      list(
+        highest = max(r_vals, na.rm = TRUE),
+        lowest  = min(r_vals, na.rm = TRUE),
+        average = mean(r_vals, na.rm = TRUE)
+      )
+    })
+    
+    # Highest IWI
+    output$highest_iwi_vb <- renderValueBox({
+      valueBox(
+        value = round(raster_stats()$highest, 3),
+        subtitle = "Highest IWI",
+        icon = icon("arrow-up"),
+        color = "green"
+      )
+    })
+    
+    # Lowest IWI
+    output$lowest_iwi_vb <- renderValueBox({
+      valueBox(
+        value = round(raster_stats()$lowest, 3),
+        subtitle = "Lowest IWI",
+        icon = icon("arrow-down"),
+        color = "red"
+      )
+    })
+    
+    # Average IWI
+    output$avg_iwi_vb <- renderValueBox({
+      valueBox(
+        value = round(raster_stats()$average, 3),
+        subtitle = "Average IWI",
+        icon = icon("balance-scale"),
+        color = "blue"
+      )
+    })
+    
+    # ----------------------------------
+    # 4. IMPROVEMENT DATA TABLE
+    # ----------------------------------
+    output$improvement_table <- renderDT({
+      datatable(
+        improvement_data,
+        filter = "top",
+        options = list(
+          scrollX = TRUE,
+          pageLength = 20,
+          autoWidth = TRUE
+        )
+      )
+    })
+    
+    # Download CSV
+    output$download_data <- downloadHandler(
+      filename = function() {
+        paste0("poverty_improvement_", Sys.Date(), ".csv")
+      },
+      content = function(file) {
+        write.csv(improvement_data, file, row.names = FALSE)
+      }
+    )
+    
+    # ----------------------------------
+    # 5. TRENDS OVER TIME (line chart of mean IWI across all Africa)
+    # ----------------------------------
+    output$trend_plot <- renderPlot({
+      df <- data.frame(
+        Period = factor(time_periods, levels = time_periods),
+        MeanIWI = band_means
+      )
+      
+      ggplot(df, aes(x = Period, y = MeanIWI, group = 1)) +
+        geom_line(color = "#2c7bb6", size = 1.1) +
+        geom_point(color = "#2c7bb6", size = 2) +
+        labs(
+          title = "Average IWI Over Time (Africa)",
+          x = "Time Period",
+          y = "Mean IWI"
+        ) +
+        ylim(0, 1) +
+        theme_minimal(base_size = 14) +
+        theme(axis.text.x = element_text(angle = 45, hjust = 1))
+    })
+  }
+  
+  # ------------------------------
+  # 6. Run the App
+  # ------------------------------
+  shinyApp(ui = ui, server = server)
+}