Four years and one month ago almost to the day, I posted the first of the #MapInfoMonday articles. What you are reading here, is the 200th article - not including the "looking back at" articles. If you asked me back then, I wouldn't have thought I would still be writing these articles four years later. But here we are!
Before reading on, I'd like you to think back and share in the comments when you jumped on board this long journey. Maybe you can remember what article it was or maybe just the year and month. And if you have a favorite article, let us know too.
If you need help pinpointing the article, you can find the complete list here: Home of #MapInfoMonday.
Here's a quick run-through of images from some of the articles
If you have ideas for articles or topics or would like to contribute yourself, reach out to me or use the online questionnaire.
25 most-read articles
I dove a bit into the statistics behind these many articles to see if some were more read than others. And there seem to be some favorites. This is a bit misleading as some of the articles have been out there way longer than others.
Surprisingly, almost 60% of the top 25 articles have been released within the last year. Maybe the #MapInfoMonthly newsletter has driven more traffic to the articles over the last year.
How do you find the articles that you read? Do you find them through a Google Search, via the monthly newsletter, via the daily digests from the community, or via the community in general? Feel free to add a comment about that below too.
But let's dive into it.
Top 25
Top 10
Top 5
As you can see from the article numbers, the top 25 covers a wide spread of published articles. We go as far back as article 14 from November 2020 and to the very recent article 193 from mid-August 2024.
I am glad to see that the two articles on basic SQL have made it into the top 3. SQL is a very powerful feature in MapInfo Pro and it's good to see that readers also find this topic interesting.
The new features in MapInfo Pro v2023 have also gained interest. The article on the new 3D visualization is the second most-read article. In Top 10, we find two additional articles covering MapInfo Pro v2023; one on f3D Shapes and one on connecting to internet resources. Finally, in Top 25, there is an article on airport zones in 3D.
Data Creation is also of interest to our readers. Voronoi Polygons (Top 5), Circular Sectors (Top 5), Points (Top 10), Cluster Polygons (Top 25), and Outside Buffers (Top 25).
It's also great to see that the more advanced topics have readers, too. MapBasic (Top 10 and Top 25) and Python (Top 25) are both represented in the list.
Data Access is of course an important part of using MapInfo Pro. This covers data on the Internet, Bing Maps, and even access to spatial databases.
Thematic Maps - the process allowing you to put your attribute onto your map as styling - can be found in Top 25.
For MapInfo Pro, we have a high focus on Usability. You can find multiple articles covering this topic in Top 25: Map window shortcuts, gridlines, multiple map windows, and renaming maps, layers and tables.
Once you have brought data into MapInfo Pro, run your analysis, and created your data and maps, you want to output the results. This can be as outputting hundreds of maps or exporting your data into various formats like GeoJSON and/or MS Excel.
The final thing we find in the Top 25 is Raster. Raster support has always been important in MapInfo Pro. Initially via add-ins like Vertical Mapper and Datamine Discover. Since the first release of MapInfo Pro 64-bit, raster has been built directly into MapInfo Pro using MapInfo Pro Raster. These capabilities are now also available in a server environment using the Java Raster SDK.
Are there any of the categories above that are of most interest to you? If so, do let me know in the comments.
Onto the next 200 #MapInfoMonday articles - or in the words of Buzz Lightyear (Toy Story): "To Infinity And Beyond!"
Have a wonderful day!
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Peter Horsbøll Møller
Principal Presales Consultant | Distinguished Engineer
Precisely | Trust in Data
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