URL list from Monday, Apr. 27 2015 13:19 PM

URL list from Friday, Apr. 17 2015 12:42 PM

This example presents a chronological list of Twitter URLs collected on April 17, 2015, each paired with its author and tweet text. The visualization uses D3.js to render the list as a scrollable feed, highlighting embedded links and media thumbnails. The data comes from a gist authored by TheMapSmith, and the code leverages `d3.select` and `d3.text` to parse the raw markdown file. Tweets are displayed in their original order, with timestamps and usernames formatted via string manipulation. The rendering approach relies on plain HTML elements styled with CSS, avoiding any map or network graphics.

90% match

URL list from Wednesday, Sep. 23 2015 12:54 PM

This example visualizes a collection of Twitter posts shared on September 23, 2015, as a manually compiled list of links and quoted text. Each tweet appears as a distinct node in a dense, multi-line text layout, preserving the original author, message, and embedded URL. The visualization uses the D3.js library to arrange these nodes, with the file’s Markdown source text serving as the data input. The rendering relies on D3’s selection and data-binding methods to create a readable, grid-like arrangement of linked content.

88% 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.

86% match

URL list from Thursday, Dec. 17 2015 8:13 AM

This example compiles a list of URLs shared on Twitter and other sources on December 17, 2015, capturing links to map-related projects, design articles, and news stories. The visualization presents the raw list of tweets and web addresses, showing the text of each post alongside its URL. It uses plain HTML and Markdown formatting to display the data, with no interactive charts or mapping libraries applied. The rendering approach is a straightforward text-based list, relying on standard web markup to present the harvested links.

URL list from Monday, Oct. 5 2015 9:24 AM

This visualization displays a list of URLs shared on Twitter, collected on October 5, 2015. The page presents each link as a textual entry, sorted in reverse chronological order based on their timestamps. The rendering relies on a simple HTML list structure, with each item containing the tweet’s text and its corresponding URL. The visualization uses no external charting libraries; instead, it relies on plain HTML and CSS for layout, with the data sourced directly from a Gist file. The underlying code parses each tweet and displays it as a static, scrollable list.

URL list from Monday, May. 11 2015 16:45 PM

This gallery example presents a plain-text markdown file that lists a collection of Twitter URLs and their associated messages, captured on a specific date. The listing functions as a static archive of cartography and data-visualization related links shared by various users. The code provides direct HTTP links to each tweet, showing the original text and author handles. The raw list serves as a simple index or reading list, with no computational rendering or interactive features. The document’s structure relies on standard Markdown formatting to organize the entries by line, offering a straightforward data source for anyone browsing the collected resources.

URL list from Friday, Feb. 26 2016 10:13 AM

This example compiles a Twitter-sourced URL list from February 26, 2016 into a structured document, showing a date-stamped collection of links shared by cartographers and data practitioners. The plain-text format presents each tweet alongside its original URL, preserving the chronological order of the timestamps. The visualization relies on the raw Markdown file as its data source, with no external JavaScript libraries or APIs in use—the content is displayed directly as a text listing. It highlights the social media context of the shared resources, including the authors’ usernames and their comments, without any interactive or graphical enhancements.

URL list from Thursday, May. 21 2015 14:49 PM

A list of 28 URLs from a Twitter-focused gist, captured on May 21, 2015, displays each tweet’s text and link as a simple text list. The page uses plain HTML and CSS to render the content, with no JavaScript or interactive elements. The data originates from a Markdown file, and the rendering relies on standard browser layout rather than a visualization library. The gist’s author, TheMapSmith, presents the raw tweet data without additional processing or charting.