URL list from Friday, Sep. 11 2015 11:14 AM

URL list from Thursday, Aug. 13 2015 10:39 AM

This example visualizes a chronological list of tweets and links shared on August 13, 2015, sourced from a gist by TheMapSmith. It arranges each tweet as a text block along a vertical timeline, using color to distinguish authors. The visualization renders the markdown file’s content directly, with each entry displayed in a fixed-position layout. It relies on standard HTML and CSS for styling and positioning, without any JavaScript libraries, to present the raw URL list in a readable, static format.

91% match

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.

90% match

URL list from Friday, May. 15 2015 8:36 AM

This example shows a curated list of Twitter URLs shared on May 15, 2015, compiled by TheMapSmith as a markdown gist. Each entry pairs a tweet’s text with its link, highlighting commentary on mapping, GIS, data visualization, and tech culture. The rendering is plain text with hyperlinks, using no specific visualization libraries or APIs—the data source is the gist file itself. The display relies on standard HTML anchor tags and markdown formatting, offering a simple, chronological record of social-media activity without interactive or graphical elements.

90% match

URL list from Monday, Sep. 21 2015 9:15 AM

This visualization is a text-based timeline of tweets collected on September 21, 2015, presented as a simple list of URLs and authors. It shows the raw data source directly, with each entry pairing a tweet's content with its corresponding link. The rendering relies on a static markdown file, displaying the information as plain text without any interactive or graphical elements. The piece does not employ any visualization libraries or APIs, instead offering a straightforward, unadorned record of the day's social media activity.

URL list from Wednesday, May. 6 2015 12:45 PM

The visualization is a simple text list of URLs shared on Twitter, captured on May 6, 2015. Each line pairs a username and a short tweet excerpt with the corresponding link, rendering the raw content in a plain monospace format. The list uses static HTML with no interactive elements or external libraries, displaying the data as a straightforward, unadorned archive of social-media posts. The source is the gist's raw markup file, which presents each tweet as a hyperlink to its original status.

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 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.

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.