10 Best Articles on GIS
The most useful articles on GIS from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.
Top 5 GIS Articles
At a glance: these are the articles that have been most read, shared, and saved on GIS by Refind users in 2023 so far.
Videos
Watch a video to get a quick overview.
Jack Dangermond: An ever-evolving map of everything on Earth
What if we had a map of ... everything? Jack Dangermond, a visionary behind the geographic information system (GIS) technology used to map and analyze all kinds of complex data, walks us through the…
How to ...?
How to Implement GIS Techniques with JavaScript and HTML
In this article, I’ll examine how to implement GIS techniques with JavaScript and HTML, focusing on lightweight tools for specific tasks.
Short Articles
Short on time? Check out these useful short articles on GIS—all under 10 minutes.
Hexagon releases machine-learning GIS tool for smart cities
Hexagon’s Geospatial division has launched M.App Enterprise 2021, a significant update to its platform for creating geospatial and location intelligence applications.
Movement data in GIS
The “Movement data in GIS” series discusses all things related to working with movement data aka. trajectories in GIS, covering concepts, libraries, desktop GIS, databases, and big data…
Urban Logistics Network Simulation in Python
Building Anylogic’s GIS-Feature w/ SimPy, OSMnx and Leaflet.js
Long Articles
These are some of the most-read long-form articles on GIS.
Creating Beautiful River Maps with Python
Forget GIS and analyse your Polygons, LineStrings and Points with Python
Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python // Adil Moujahid // Data…
Adil Moujahid, Data Analytics and more
Walkthrough: Mapping GIS Data in Python
Improve your understanding of working with geospatial information as a GeoPandas DataFrame within Google Colab.
What is Refind?
Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.
How does Refind curate?
It’s a mix of human and algorithmic curation, following a number of steps:
- We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
- In addition, our users save links from around the web using our Save buttons and our extensions.
- Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
- Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
- Our algorithm uses these internal signals to refine the selection.
- In addition, we have expert curators who manually curate niche topics.
The result: lists of the best and most useful articles on hundreds of topics.
How does Refind detect «timeless» pieces?
We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.
How many sources does Refind monitor?
We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
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