Posts on Smokelyze

R shiny [05]: Interactive maps using Leaflet

Thu, 27 Mar 2025 00:00:00 +0000

Leaflet

The Leaflet package in R is a powerful tool for creating interactive web maps directly from R code, leveraging the popular open-source JavaScript library Leaflet.js (here). It allows users to overlay data points, polygons, raster images, and other geospatial data on customizable basemaps, supporting features like zooming, panning, popups, color scales, and layer controls. Leaflet integrates seamlessly with spatial objects in R (e.g., sf, sp, raster, terra), making it especially useful for visualizing spatial data in R Shiny apps, reports, and dashboards.

Smoke tool tutorial [04]: GAM previous - Layer map

Thu, 13 Mar 2025 00:00:00 +0000

This tutorial is for the “PM2.5 and O3 smoke tool” app, available at (https://westar.shinyapps.io/PMO3smokeTool/).

The [GAM previous] tab allows users to explore and understand previously developed GAMs for O3 prediction and related air quality analyses. It includes two main sub-tabs: [Overview] and [Layer map]. Additionally, users can compare not only our GAM results but also findings from other studies on smoke contributions to O3 and PM2.5, derived using different methods.

Smoke tool tutorial [03]: GAM previous - Overview

Wed, 12 Mar 2025 00:00:00 +0000

This tutorial is for the “PM2.5 and O3 smoke tool” app, available at (https://westar.shinyapps.io/PMO3smokeTool/).

Smoke tool tutorial [02]: GAM manual - GAM setup

Tue, 11 Mar 2025 00:00:00 +0000

This tutorial is for the “PM2.5 and O3 smoke tool” app, available at (https://westar.shinyapps.io/PMO3smokeTool/).

The [GAM manual] tab is designed to provide users with comprehensive tools to manually manage data collection and loading processes for building GAMs. It includes two main sub-tabs: [Data collection], [Load dataset], [GAM setup], and [GAM results]. Please note that [GAM setup] and [GAM results] are normally hidden unless you run [Load datset].

Smoke tool tutorial [01]: GAM manual - Data collection

Mon, 10 Mar 2025 00:00:00 +0000

This tutorial is for the “PM2.5 and O3 smoke tool” app, available at (https://westar.shinyapps.io/PMO3smokeTool/).

R shiny [04]: Hide/Show login page

Mon, 10 Feb 2025 00:00:00 +0000

As explained in the previous post, creating a simulated login page in R Shiny is straightforward. This post demonstrates how to toggle the visibility of the login page, allowing a seamless transition from the login page to the main page. This content includes the necessary information for the server section. The main focus of this post is to explain the transition of the login page using actionButton(). The part where the user enters an email and proceeds will not be covered in this post.

R shiny [03]: Create login page

Fri, 07 Feb 2025 00:00:00 +0000

Implementing a typical login page can be quite complex in R shiny. Implementing such a typical login page requires handling user information and passwords, which presents limitations when building it in R Shiny. This post demonstrates how to create a “login page” in an R Shiny app. More precisely, it might be more appropriate to call it a simulated login page.

For example, you could create a feature that takes guests from the login page to the main UI page by simply entering their email address. Furthermore, you can even have your visitors receive a notification via email as soon as they enter their email address.

R shiny [02]: Dashboard UI

Wed, 05 Feb 2025 00:00:00 +0000

R shiny is a very useful and versatile tool to build your own app using R. This blog section will walk you through the step-by-step process of how the GAM tool app was built. Please note that your R environment and package versions may differ from mine. Today’s topic will cover how the basic UI was set up.

Install and import required pacakges

To begin, let’s set up a simple shiny application with a basic UI and server structure. Before creating the app, ensure you have the necessary libraries installed. If not, you can install them using:

R shiny [01]: Getting started

Tue, 04 Feb 2025 00:00:00 +0000

R Shiny

R Shiny is an open-source R package that allows users to build interactive web applications directly in R without requiring extensive knowledge of web development (HTML, CSS, or JavaScript). It is widely used for data visualization, dashboard creation, and interactive analytics. Shiny applications run in a web browser and can be hosted locally, on Shiny Server, or deployed to ShinyApps.io or other cloud platforms. R Shiny is a game-changer for those who want to create interactive applications and data-driven dashboards without needing deep web development expertise. Whether you’re an analyst, researcher, or developer, Shiny provides a powerful and flexible way to bring your data to life.