World population growth through time

A few months ago I have made an attempt to visualize the world population changes from 1800 to 2100: Inspired by @MaxCRoser and @jkottke, I've tried to visualize the world population changes from 1800 to 2100. My new blog post at https://t.co/XpBpkZLO9s describes how this animation was made using #rstats and #OpenData. pic.twitter.com/WI3gj0xUwU — Jakub Nowosad (@jakub_nowosad) October 9, 2018 This way of visualization is good to show the ever-changing distribution of the population on a global scale.

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Efficient landscape metrics calculations for buffers around sampling points

Landscape metrics are algorithms that quantify physical characteristics of landscape mosaics (aka categorical raster) in order to connect them to some ecological processes. Many different landscape metrics exist and they can provide three main levels of information: (i) landscape level, (ii) class level, and (iii) patch level. A landscape level metric gives just one value describing a certain property of a landscape mosaic, such as its diversity. A class level metric returns one value for each class (category) present in a landscape.

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GeoPAT2: Entropy calculations for local landscapes

Introduction GeoPAT 2 is an open-source software written in C and dedicated to pattern-based spatial and temporal analysis. Four main types of analysis available in GeoPAT 2 are (i) search, (ii) change detection, (iii) segmentation, and (iv) clustering. However, additional applications are also possible, including extracting information about spatial patterns. Global landscape diversity (based on Shannon entropy of land cover categories in a 9 by 9 km local window). It shows where only one land cover category dominates, and where there is a large number of lc categories.

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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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Finding similar local landscapes

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 third blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis.

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Pattern-based Spatial Analysis - core ideas

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 second blog post in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis.

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