URL list from Monday, Aug. 24 2015 9:39 AM

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.

89% match

URL list from Tuesday, Sep. 8 2015 10:33 AM

This visualization is a manually curated list of 27 geospatial and data-related tweets from September 8, 2015, each linked to its original Twitter status. The page presents each tweet’s author, text, and URL as a plain chronological list, sourced from a gist by TheMapSmith. The layout is a static HTML document with no interactive elements, using no JavaScript libraries or rendering APIs; it simply displays the raw markdown content as a readable text archive. The data source is the author’s own compilation of tweets, with no additional processing or visual encoding.

88% match

URL list from Monday, May. 4 2015 11:41 AM

This example presents a plain-text list of 25 cartography- and data-visualization-related links shared on Twitter around May 4, 2015, curated into a markdown file. The visualization simply renders each tweet’s text and URL as a static, ordered list, with no interactive elements or graphical encoding. It relies on raw HTML and CSS for text styling rather than any charting library or API. The dataset originates from the author’s own collection of tweets from that day, focusing on map projections, GIS software, and humanitarian mapping efforts.

88% 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.

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 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.

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.