OSM Talks to watch

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.

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URL list from Friday, Aug. 14 2015 11:07 AM

This gallery item displays a curated timeline of tweets from geospatial and data-visualization professionals, captured as a text list. The code renders each tweet as a card with its timestamp, author, and content, drawing from a linked data file. It uses simple DOM manipulation to append elements, without a visualization library. The layout is a vertical flow, and no interactive features or data-driven scales are present.

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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 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, 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.

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 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.

Tracking @tmcw's prediction

This example tracks a series of tweets and links that compare Esri’s products and events to those of Mapbox and the wider FOSS4G community. It presents a timeline of exhibits, from drone no-fly zones and hexbin maps to GeoDev HackerLabs and GPS track mapping, each with corresponding URLs. The data is sourced from a gist by TheMapSmith, with entries linked via Twitter statuses and blog posts. The visualization does not use external libraries, relying on plain HTML and Markdown to structure the chronological log.