How much our maps are distorted?

Last week Neil Kaye tweeted: Animating the Mercator projection to the true size of each country in relation to all the others. Focusing on a single country helps to see effect best.#dataviz #maps #GIS #projectionmapping #mapping pic.twitter.com/clpCiluS1z — Neil Kaye (@neilrkaye) October 12, 2018 This, of course, provoked me to ask: is it reproduclible? And more specifically, can it be reproduced in the open source statistical programming language, R?

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The world (population) is changing

Last month, Max Roser presented a cartogram of the Earth’s population in 2018. He also provided some perspectives on its spatial distribution in an article on the worldinourdata.org, which I recommend. Links to the article were shared in many places, including in the blog post A Map of the World Where the Sizes of Countries Are Determined by Population. The author, Jason Kottke, concluded with a wish: “I would love to see an animated version of this cartogram from like 1950 to 2100”.

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sabre: or how to compare two maps?

Creating or determination of regions is a useful way to describe the world. Regionalization does not only allow for a quicker understanding of spatial patterns but also can influence how regions are managed. Regions are created in various disciplines. We can delineate regions based on a single property (e.g. landform regions or climate regions) or several factors (e.g. ecoregions). There are also political regions divided by borders that are established through political or social agreements.

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Moving beyond pattern-based analysis: Additional applications of GeoPAT 2

This is the sixth and the last blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis. In the previous one we presented the pattern-based spatial segmentation - a method for creating regions of homogenous patterns. Here, we will mention other pattern-based methods and show some examples of how you can use pieces of GeoPAT 2 in your own workflow. Introduction GeoPAT 2 gives its users a lot of freedom, having a large number of possible workflows:

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Pattern-based regionalization

Blog posts in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis: GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis Pattern-based Spatial Analysis - core ideas Finding similar local landscapes Quantifying temporal change of landscape pattern Pattern-based regionalization Moving beyond pattern-based analysis: Additional applications of GeoPAT 2 This is a fifth blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis.

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Quantifying temporal change of landscape pattern

Blog posts in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis: GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis Pattern-based Spatial Analysis - core ideas Finding similar local landscapes Quantifying temporal change of landscape pattern Pattern-based regionalization Moving beyond pattern-based analysis: Additional applications of GeoPAT 2 This is a fourth blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis.

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