Explore chapters and articles related to this topic
Collecting, Classifying and Visualising Big Data for Biodiversity and Mobility
Published in Bruno Peuportier, Fabien Leurent, Jean Roger-Estrade, Eco-Design of Buildings and Infrastructure, 2020
Madjid Maidi, Hela Marouane, Salma Rebai, Sébastien Herry
The user interface design has been developed by keeping two key points in mind, namely simplicity and speed, to provide the user with a highly seamless experience possible. The web interface was made with JavaScript and HTML5/CCS3. For its part, the application part is written in JavaScript and also communicates with the Cassandra database via the web service described above. For the data mapping, we use OpenStreetMap with the Leaflet library. The general architecture of the application is illustrated in Figure 20.36.
Working with spatial data
Published in Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton, Texts in Statistical Science, 2017
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
Leaflet is a powerful open source JavaScript library for building interactive maps in HTML. The corresponding R package leaflet brings this functionality to R using the htmlwidgets platform.
Working with geospatial data
Published in Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton, Modern Data Science with R, 2021
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
Leaflet is a powerful open-source JavaScript library for building interactive maps in HTML. The corresponding R package leaflet brings this functionality to R using the htmlwidgets platform introduced in Chapter 14.
A Prototype Earthquake Early Warning System for Northern India
Published in Journal of Earthquake Engineering, 2021
Bhanu Pratap Chamoli, Ashok Kumar, Da-Yi Chen, Ajay Gairola, Ravi S. Jakka, Bhavesh Pandey, Pankaj Kumar, Govind Rathore
A graphical user interface (GUI) was developed using PyQt4, a Qt application framework in Python. This GUI contains two main components: a map display of the region monitored and a countdown timer to display the estimated time remaining before the arrival of a detected earthquake. The map is displayed using Leaflet JS, a JavaScript library for interactive maps.