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

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.

90% 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.

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.

89% match

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.

88% match

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 Tuesday, Sep. 22 2015 11:55 AM

This gallery example is a plain-text archive of a Twitter user’s “favorites” list, captured on September 22, 2015, and stored as a Markdown file. It shows a chronological sequence of tweets, each paired with its URL, focusing on map-making, cartography, and data-visualization topics. The rendering is static and minimalist, presenting the raw data without further transformation or interactive elements. The file uses no external libraries or APIs, relying solely on the Markdown format for structure and readability. Its purpose is to preserve and display a snapshot of social-media activity for reference or analysis.

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 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.