Lately, I’ve been making a lot of interactive web maps. Sometimes they are for a specific project, other times they are generic tools that can load various datasets. Here are a few:
Hurricane Matthew Tweets
An interactive map of Geolocated tweets during Hurricane Matthew (Fall 2016)
GeoJSON Tweet Explorer
An interactive map that renders a geojson feature collection of points in MapboxGL. Good for viewing hundreds or thousands of tweets in spatiotemporal context.
Quickly Visualize GeoJSON Polygon Feature Collections
Quickly visualize a GeoJSON Feature collection of Polygons.
Maps from Google Sheets!
Google Sheet Example: "https://docs.google.com/spreadsheets/d/1UZUCxADnD2mh2oINcF_S3zjNpqav4nauHuZQ2vWYP3I/edit#gid=0"
Create maps from Google Sheets
Spatiotemporal data should be easier to visualize! (In progress)
Tweeting Hurricane Sandy
An interactive map of the 260k tweets referencing Hurricane Sandy that were geo-tagged. Built on MapboxGL
OpenStreetMap Data Analysis
As a Research Fellow with Mapbox, I built analysis tools to explore notions of data quality in the map through contributor-centric metrics. This is a collection of various interactive maps that explore some of these metrics.
A set of three interactive maps that show where various Virtual Operational Support Teams (VOST) are active around the world. Built on leaflet and mapboxjs, the maps read JSON from a Google Sheet for geometries, layout information, and metadata.