URL list from Thursday, Aug. 27 2015 11:11 AM

URL list from Thursday, Jun. 4 2015 11:00 AM

This example visualizes a curated list of URLs shared on Twitter on June 4, 2015, drawn from a gist by TheMapSmith. The display connects each tweet’s text to its linked webpage, using a network layout powered by `d3.forceSimulation` to position nodes. The rendering relies on SVG elements and `d3.geoPath` to draw geographic context, while data is parsed directly from the markdown file. Titles and handles appear as labels, with links encoded as edges between tweet and destination nodes.

85% match

URL list from Wednesday, Jul. 1 2015 17:21 PM

This example displays a list of tweets about maps, cartography, and GIS, scraped from a single day in July 2015. The visualization is a simple text list, with each entry showing the tweet’s author, message, and URL. The data comes from a plain-text gist, and the rendering uses basic HTML and CSS to format the list, with no interactive or dynamic elements. It serves as a static archive of social-media activity rather than a chart or map.

83% match

URL list from Monday, Jun. 8 2015 10:15 AM

A timeline of Twitter bookmarks and links captured from June 8, 2015, shows a stream of cartography and open-source mapping discussions. The visualization renders each tweet as a node on a vertical list, with the handle and text visible, while the embedded URLs are extracted and displayed as separate, linked cards. The code uses d3.forceSimulation to position the nodes and d3.linkHorizontal to draw connecting edges. Data comes from a static gist of markdown-formatted tweet URLs, with the layout reflecting the chronological order of the original posts.

82% match

URL list from Monday, Sep. 28 2015 11:31 AM

This gallery example visualizes a list of URLs shared on Twitter, each plotted as a point and labeled with its tweet text. The visualization uses d3.forceSimulation to position the links, with the tweet text placed directly beside each URL. The data comes directly from a markdown file listing tweets from September 28, 2015, and the rendering relies on D3’s force layout to avoid overlapping labels. No additional libraries or APIs are used beyond D3’s core simulation and DOM manipulation methods.

82% match

URL list from Thursday, Oct. 22 2015 9:59 AM

This visualization displays a chronological list of URLs collected from Twitter and other web sources on October 22, 2015. It shows each link as a node in a network graph, with connections indicating shared mentions or themes. The page uses D3.js to render the force-directed layout, with `d3.forceSimulation` managing node positions and `d3.select` handling interactions. A default SVG circle represents each URL, while the text labels come from the original titles. The data originates from a Markdown file listing tweets and articles, with no additional filtering or clustering visible in the code.

URL list from Wednesday, May. 13 2015 9:25 AM

This example visualizes a collection of tweets about maps, geospatial technology, and data visualization, as shared by TheMapSmith on May 13, 2015. The visualization presents the raw text of each tweet alongside its corresponding URL, linking each entry to its original Twitter post. Rendered as a simple markdown file, the data is displayed as a chronological list without any additional styling or graphical encoding. The source content comes directly from a public gist, capturing a snapshot of the geospatial community’s social media activity at that moment.

URL list from Wednesday, Jun. 3 2015 10:11 AM

This visualization displays a curated list of URL links, captured from a gist on Wednesday, June 3, 2015, by TheMapSmith. The content includes tweets and articles on topics like mapping, technology, and media, with each entry showing a title and its corresponding hyperlink. The rendering uses a simple, text-based layout, likely generated via the `gj2ascii` Python package, which converts geospatial data into ASCII art, though here it presents the raw link data in a plain, readable format. The list is static and serves as a snapshot of web resources from that date.

URL list from Saturday, May. 23 2015 11:12 AM

This example compiles a crowd-sourced list of geospatial and data-visualization links shared on Twitter on May 23, 2015, using a GitHub Gist as its raw data source. The visualization presents each tweet as a serial entry, rendering the original tweet text alongside the author and the direct Twitter URL. The code parses the Markdown file to extract tweets, handles the embedded media and link-shortener expansions for readability, and formats the entries with timestamps and author names. It relies on a simple text-based rendering pipeline, using standard JavaScript string processing to clean and display the tweet content without any charting or mapping libraries.