Merry #MapInfoMonday!
I know I'm a bit late as Christmas now is over but I couldn't help it. And at the end of this article, you can find a small present, too.
As we now are in the last week of the year 2021, I thought it would make sense to look back at some of the articles from the year that now has gone by.
One often-used feature when working with spatial data and especially polygon-based data, you want to understand
how much one polygon overlays another polygon.
In this article from back in January, we looked into using the
ProportionOverlap function for this type of calculation.
MapInfo Pro can work with quite large datasets. When working with large point-based datasets, you can
speed up the map rendering quite drastically as we inspected in
this article from back in February. We also looked at some of the downsides.
In
another article in February, we looked at
exporting data to GeoJSON using a Python script. With MapInfo Pro v2021, you can
export datasets directly to GeoJSON via the OGR support from the Export dialog which
we discussed in an article in November during our release week.
Covid-19 has been a big topic during 2021 again. We looked at
creating thematic maps with Covid-19 data in
an article back in April.
In
an article in June, we looked at which benefits
Spectrum Spatial can bring to MapInfo Pro users.
In July I went on vacation on the Danish island of Bornholm which resulted in
an article on how to
use the Cross Section tool in MapInfo Pro Advanced.
In
a #MapInfoMonday post in August, I looked back at a new feature we added to MapInfo Pro a couple of years earlier which can help you
limit the number of labels on your map.
Hexagons have always fascinated me. In
an article in August, we looked at
creating Uber H3 Hexagons with a Python tool. You can find the tool, Create Uber H3 Hexagons, on the MapInfo Marketplace.
In
October I wrote an article initiated by a question about how you can
manually move the centroid of polygons in MapInfo Pro. This post led to a discussion around if this was even possible as a centroid typically would be calculated automatically.
And finally,
in a post mid-December I looked at how you can
find the objects that don't intersect. Typically, you can find the objects that do intersect so how do you find the opposite?
I hope you have enjoyed reading these #MapInfoMonday posts as much as I have enjoyed writing them. If you have topics or ideas for articles in 2022, do let me know. Feel free to suggest ideas as comments to this post or by sending me an email.
Oh, and as I promised at the beginning, a present for those of you who had read through the entire post, please find a document with all the #MapInfoMonday posts until now.
See you in 2022!
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Peter Horsbøll Møller
Principal Presales Consultant | Distinguished Engineer
Precisely | Trust in Data
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