Finding similar local landscapes

This is a third blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis. The previous two laid a foundation for pattern-based spatial analysis by explaining the three core ideas - a motifel, signature, and similarity metric. Now, I will apply these ideas to real-life problems. The first one is finding local landscapes with similar patterns. Introduction Nowadays, convenient search engines (such as Google or DuckDuckGo) are essential tools in everyday life.

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Pattern-based Spatial Analysis - core ideas

This is a second blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis. The first one focused on providing a background of this open-source software. Here, I will explain the three core ideas behind the pattern-based spatial analysis including what is a motifel, signature, and similarity metric. Motifel Most of the spatial raster analyses use single pixels as its main unit of analysis.

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GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis

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 Take a look at the satellite image below - do you see buildings? Roads? A river? Are you able to draw a line separating a building and a road?

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