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

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.

90% match

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, Sep. 11 2015 11:14 AM

This example presents a chronological list of URLs shared on Twitter, sourced from a GitHub gist and captured on September 11, 2015. Each entry pairs a tweet’s text with its corresponding link, displayed as a static text document. The visualization relies on plain Markdown formatting to structure the list, with no interactive libraries or rendering algorithms involved. It simply organizes the raw tweet data into a readable, sequential inventory, highlighting the content and metadata of each shared link.

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.

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.

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.

87% 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.

87% match

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.