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| # Day 27: Boundaries - World Time Zones | |
| # Shows current time in each timezone, centered on user's location | |
| library(mapgl) | |
| library(sf) | |
| library(dplyr) | |
| library(lubridate) | |
| # Get user's current timezone and time | |
| user_tz <- Sys.timezone() |
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| # Day 26: Transport - US Electric Power Transmission Lines | |
| # Visualizing America's invisible highway: 700,000+ miles of power lines | |
| # Dynamic line widths by voltage class, glowing effect for the energy flow | |
| library(mapgl) | |
| library(sf) | |
| library(dplyr) | |
| # Load transmission lines from HIFLD (Homeland Infrastructure Foundation-Level Data) | |
| # This is a large dataset - we'll use direct URL for the GeoJSON |
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| # Day 25: Hexagons - US Wind Energy Infrastructure | |
| # Multi-resolution H3 hexagonal aggregation of 76,000+ wind turbines | |
| # Aggregating total installed capacity (MW) per hexagon | |
| # Points fade in at high zoom for individual turbine exploration | |
| library(mapgl) | |
| library(h3o) | |
| library(sf) | |
| library(dplyr) | |
| library(readr) |
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| library(shiny) | |
| library(mapgl) | |
| library(tidycensus) | |
| library(sf) | |
| # Get data: median household income by tract in Colorado | |
| co_income <- get_acs( | |
| geography = "tract", | |
| variables = "B19013_001", | |
| state = "CO", |
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| # remotes::install_github("walkerke/mapgl") | |
| library(mapgl) | |
| # CYBERPUNK 2125 - Ultra-striking neon palette | |
| # Deep blacks + electric neons for that Blade Runner / Akira vibe | |
| cyberpunk_2125 <- c( | |
| "#000000", # Pure black (shadows) | |
| "#0a0e27", # Deep space blue (dark areas) | |
| "#1a1a2e", # Dark navy (buildings) | |
| "#16213e", # Midnight blue |
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| library(mapgl) | |
| library(sf) | |
| nc <- st_read(system.file("shape/nc.shp", package = "sf")) | |
| # Custom style with background-pattern | |
| style <- list( | |
| version = 8, | |
| sources = structure(list(), .Names = character(0)), | |
| layers = list( |
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| library(tidycensus) | |
| library(mapgl) | |
| tx_income <- get_acs( | |
| geography = "tract", | |
| variables = "B19013_001", | |
| state = "TX", | |
| geometry = TRUE | |
| ) |
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| library(mapgl) | |
| library(shiny) | |
| library(geojsonsf) | |
| ui <- fluidPage( | |
| tags$head( | |
| tags$style(HTML( | |
| " | |
| body { margin: 0; padding: 0; } | |
| .container-fluid { padding: 0 !important; margin: 0 !important; } |
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| # DuckDB Vector Tiles with mapgl Example | |
| # This script demonstrates how to serve vector tiles from DuckDB using ST_AsMVT() | |
| # and display them in a mapgl map using httpuv | |
| library(mapgl) | |
| library(duckdb) # Requires the latest DuckDB version (>= 1.4.0) | |
| library(httpuv) | |
| library(sf) | |
| library(duckspatial) | |
| library(tigris) |
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| library(mapgl) | |
| library(tidycensus) | |
| tarrant_age <- get_acs( | |
| geography = "tract", | |
| variables = "B01002_001", | |
| state = "TX", | |
| county = "Tarrant", | |
| geometry = TRUE | |
| ) |
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