356 lines
7.8 KiB
ReStructuredText
356 lines
7.8 KiB
ReStructuredText
*******
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R
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*******
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QuartzMap supports creating of a number of R HTML applications:
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1. R Leaflet: https://github.com/rstudio/leaflet/
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2. Plotly: https://plotly.com/r/
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3. Standard Plots
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.. contents:: Table of Contents
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R Publishing
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===================================
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There are three options for publising your R code.
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Option 1: FTP.
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------------
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FTP Uploads are R files you have uploaded directly via FTP.
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It can also maps you uploaded via any FTP client.
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.. image:: images/Map-2.png
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Option 2: Archive (Upload)
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------------
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Archive is a zipped archive file you can upload.
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.. image:: images/Map-3.png
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Option 3: Paste
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-----------------
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Paste your R Leaflet code into the code box.
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.. image:: images/R-Paste.png
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R Leaflet
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===================================
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To create an R Leaflet Map, click on "Add New" button.
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.. image:: images/Add-Map.png
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FTP, Upload, or Paste your code.
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Give your R code a Name and Description.
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Example
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--------------
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The two main components are the libraries and saveWidget function
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.. code-block:: R
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#libraries
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library(leaflet)
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library(leaflet.extras)
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require(sf)
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library(htmlwidgets)
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# Your R Code Here
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#saveWidget
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saveWidget(m, file = "index.html")
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An example Choropleth map is included in the installation.
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.. code-block:: R
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library(leaflet)
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library(leaflet.extras)
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require(sf)
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library(htmlwidgets)
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# From https://leafletjs.com/examples/choropleth/us-states.js
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states <- sf::read_sf("https://rstudio.github.io/leaflet/json/us-states.geojson")
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bins <- c(0, 10, 20, 50, 100, 200, 500, 1000, Inf)
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pal <- colorBin("YlOrRd", domain = states$density, bins = bins)
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labels <- sprintf(
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"<strong>%s</strong><br/>%g people / mi<sup>2</sup>",
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states$name, states$density
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) %>% lapply(htmltools::HTML)
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m <- leaflet(states) %>%
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setView(-96, 37.8, 4) %>%
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addPolygons(
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fillColor = ~pal(density),
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weight = 2,
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opacity = 1,
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color = "white",
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dashArray = "3",
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fillOpacity = 0.7,
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highlightOptions = highlightOptions(
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weight = 5,
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color = "#666",
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dashArray = "",
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fillOpacity = 0.7,
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bringToFront = TRUE),
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label = labels,
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labelOptions = labelOptions(
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style = list("font-weight" = "normal", padding = "3px 8px"),
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textsize = "15px",
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direction = "auto")) %>%
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addLegend(pal = pal, values = ~density, opacity = 0.7, title = NULL,
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position = "bottomright") %>%
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addTiles(group="OpenStreetMap") %>%
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addProviderTiles(providers$Esri.WorldImagery, group = "Esri World Imagery") %>%
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addLayersControl(baseGroups=c("OpenStreetMap", "Esri World Imagery"), options=layersControlOptions(collapsed=FALSE)) %>%
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addMeasurePathToolbar(options = measurePathOptions(imperial = FALSE, showDistances = TRUE)) %>%
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addDrawToolbar(
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targetGroup = "draws",
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editOptions = editToolbarOptions(
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selectedPathOptions = selectedPathOptions()))
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saveWidget(m, file = "index.html")
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The output should look as below:
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.. image:: images/R-Choropleth.png
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R Plotly
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===================================
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To create an R Leaflet Map, click on "Add New" button.
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.. image:: images/Add-Map.png
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FTP, Upload, or Paste your code.
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Give your R code a Name and Description.
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Example
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--------------
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The three main components are the plotly, ggplot2, and htmlwidgets function.
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.. code-block:: R
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# Main libraries for Plotly
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library(plotly)
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library(ggplot2)
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library(htmlwidgets)
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# Your R Code Here
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#saveWidget
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htmlwidgets::saveWidget(as_widget(p), file="index.html")
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An example of a Plotly app is included in the installation. Here, we add the RPostgreSQL library to connect to PostgreSQL.
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.. code-block:: R
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library(plotly)
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library(ggplot2)
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library(RPostgreSQL)
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library(htmlwidgets)
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conn <- RPostgreSQL::dbConnect("PostgreSQL", host = "localhost", dbname = "r_examples", user = "admin1", password = "4eA7hDlgYF")
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query_res <- dbGetQuery(conn, 'SELECT * FROM "sensor_readings";');
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sensor_readings <- as.data.frame(query_res);
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# sensor_readings$timestamp <- as.Date(sensor_readings$timestamp)
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p <- plot_ly(sensor_readings, x=~timestamp, y=~humidity, text=~paste("Sensor: ", sensor_name), mode="markers", color=~humidity, size=~humidity) %>%
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layout(
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plot_bgcolor='#e5ecf6',
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xaxis = list( matches='x',
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zerolinecolor = '#ffff',
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zerolinewidth = 2,
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gridcolor = 'ffff',
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range = list( min(sensor_readings$timestamp),
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max(sensor_readings$timestamp))
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),
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yaxis = list(
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zerolinecolor = '#ffff',
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zerolinewidth = 2,
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gridcolor = 'ffff')
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)
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htmlwidgets::saveWidget(as_widget(p), file="index.html")
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R Standard Plot (PNG)
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===================================
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To create an R Standard Plot (PNG) Map, click on "Add New" button.
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.. image:: images/Add-Map.png
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FTP, Upload, or Paste your code.
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Give your R code a Name and Description.
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Example
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--------------
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The three main components are the R3port and html_plot function.
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.. code-block:: R
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# Main libraries for Plotly
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library(R3port)
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# Your R Code Here
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#output
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html_plot(pl(), out="index.html")
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An example of a Standard Plot (PNG) is included in the installation.
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.. code-block:: R
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library(R3port)
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set.seed(1919) # Create example data
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x1 <- rnorm(1000)
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y1 <- x1 + rnorm(1000)
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group <- rbinom(1000, 1, 0.3) + 1 # Create group variable
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pl <- function() {
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plot(x1, y1, # Create plot with groups
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main = "This is my Plot",
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xlab = "X-Values",
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ylab = "Y-Values",
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col = group,
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pch = group)
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legend("topleft", # Add legend to plot
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legend = c("Group 1", "Group 2"),
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col = 1:2,
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pch = 1:2)
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}
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html_plot(pl(), out="index.html")
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R App Options
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===================================
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Name
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Give your R app a name. The name will appear as the map title on the dashboard.
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.. image:: images/Name-Desc.png
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Description
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The Description is the text that will appear at the bottom of the map link
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.. image:: images/Name.png
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Data Update (Cache)
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For dynamic R apps that connect to a databases, you can set the update frequency
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.. image:: images/Update.png
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If you wish to set a custom interval, select custom:
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.. image:: images/Update-2.png
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When Updates are selected, this is the interval at which your app will be recompiled against the database.
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If you have enabled Updates, but wish to Update immediately, you can do so by clicking the Clear Cache icon on the Map page:
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.. image:: images/clear-cache.png
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Thumbnail Image:
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Upload a thumbnail image for your map to be displayed on the home page.
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.. image:: images/Thumbnail.png
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Info Box.
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The InfoBox is a modal information box you can display to map users.
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.. image:: images/Info-Box.png
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Security
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--------------
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Maps can be Private or Public.
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The Security section is where you assign permissions to your map.
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Security is Group based, so any users belonging to the Group will be able to view the map.
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.. image:: images/users-3.jpg
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1. Private
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Private apps can be viewed by the user logging into your map portal or via Secure Share link (for temporary access)
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For example, since we gave access to the Group containing user Jane Doe, when she logs in she will see only the two maps she has permissions to
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.. image:: images/users-2.jpg
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2. Public
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You can also tick the “Public” box to make your app public.
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.. image:: images/public-users.jpg
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If your map is “Public”, you can use the map url to display the map.
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By default, the app is full screen. You can also use an iframe like below:
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.. image:: images/public-map.png
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