How to Install H3 Viewer on Manjaro

H3 Viewer is a web-based Hexagonal Hierarchical Spatial Index (H3) viewer created by clupasq. This tutorial will guide you through the process of installing H3 Viewer on Manjaro, a popular Linux distribution.

Prerequisites

Before we start, make sure that you have the following prerequisites:

You need Git to clone the H3 Viewer repository. If Git is not installed on your Manjaro system, you can install it using the following commands:

sudo pacman -Syu git

Node.js

You need Node.js to run H3 Viewer. If Node.js is not installed on your Manjaro system, you can install it using the following commands:

sudo pacman -Syu nodejs

Installing H3 Viewer

Now that we have the prerequisites installed, we can proceed with installing H3 Viewer. Here are the steps:

Clone the H3 Viewer repository by running the following command in a terminal:
```
git clone https://github.com/clupasq/h3-viewer.git
```
Navigate to the h3-viewer directory:
```
cd h3-viewer
```
Install the required Node.js packages by running the following command:
```
npm install
```
Start the H3 Viewer server by running the following command:
```
npm start
```
Open a web browser and go to http://localhost:3000 to access the H3 Viewer.

Using H3 Viewer

When you open the H3 Viewer in your web browser, you will see a map with a grid overlay. The grid represents the H3 index at various resolutions. You can zoom in and out of the map using your mouse or trackpad.

To view H3 index data, click on a cell in the grid. This will display information about the cell in the sidebar, such as its center coordinates, its parent and child cells, and its polygon geometry.

You can also use the search bar at the top of the page to search for specific H3 index cells by their indices or their center coordinates.

Conclusion

In this tutorial, we have shown you how to install H3 Viewer on Manjaro. We have also demonstrated how to use the H3 Viewer to view and explore H3 index data. H3 Viewer is a powerful tool for visualizing H3 index data and can be helpful for understanding and analyzing geospatial data.