URL list from Tuesday, Sep. 22 2015 11:55 AM

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.

92% match

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.

89% 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.

88% match

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.

88% match

URL list from Wednesday, Sep. 9 2015 11:17 AM

This example presents a text-based visualization: a chronological log of Twitter posts related to mapping, geospatial technology, and data visualization, captured on September 9, 2015. The data is a plain-text list of tweets with authors, messages, and URLs, sourced from a public gist by TheMapSmith. The rendering simply displays the raw markdown file `urllist-20150909.md` as a scrolling document, with no additional layout, filtering, or encoding. No JavaScript libraries or APIs are used; the content is presented as-is, preserving the original tweet text and links for browsing.

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 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 Tuesday, Jun. 2 2015 15:41 PM

A daily log of links shared by cartography and GIS practitioners on Twitter is rendered as a scrollable, plain-text list, where each tweet’s text and URL are displayed verbatim. This example uses a simple HTML/CSS layout with no JavaScript libraries; the visual interest comes from the raw, unedited stream of community-sourced resources, including project links and commentary. The source is a markdown file containing tweet text and URLs, and the rendering approach is a straightforward static page that preserves the chronological order and original wording of each post.