This repository contains a webmap that was originally produced in 2017 for and English class. Its aim was to showcase the relationship between US census data and the urbanization process. Artificial surfaces were extracted using a Random Forest classifier and Landsat images. The corresponding program was written in R, but is not included in this repository.
Note
The webmap was briefly updated in September 2022, following the new standards in web development. However, the original pipeline and data were not modified.
This project includes the following directories in the gh-pages branch:
data/— TopoJSON files containing classification results and region of interest.dist/— Build directory.
Node.js v16.15.0 was used, but earlier versions might work too.
The following lines can be used to run the webmap in a built-in development server:
git clone https://github.com/poterekq/master-houston-webmap.git
cd master-houston-webmap
npm install
npm run dev