How to measure spatial diversity and segregation?

The raceland package implements a computational framework for a pattern-based, zoneless analysis and visualization of (ethno)racial topography. The main concept in this package is a racial landscape (RL). It consists of many large and small patches (racial enclaves) formed by adjacent raster grid …

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Introduction to landscape ecology with R

Maximilian H.K. Hesselbarth and I gave the Introduction to landscape ecology with R workshop during IALE-North America 2020 Annual Meeting. You can find the workshop abstract, slides, and recordings below. Abstract R is a free, open-source programming language created as an environment for …

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How to calculate landscape metrics for local landscapes?

In the last few weeks, I was asked a similar question several times - how to calculate landscape metrics for local landscapes? In other words, how to divide the categorical input map into a number of smaller areas, and next calculate selected landscape metrics for each of the areas. Those areas have …

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Information theory provides a consistent framework for the analysis of spatial patterns

Quantitative assessment of spatial patterns has been a keen interest of generations of spatial scientists and practitioners using spatial data. This post describes Information Theory-based metrics allowing for numerical description of spatial patterns. Each example is accompanied by an R code …

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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 …

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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 …

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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 …

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Geocomputation with R - the afterword

I am extremely proud to announce that Geocomputation with R is complete. It took Robin, Jannes, and me almost 2 years of collaborative planning, writing, refinement, and deployment to make the book available for anyone interested in open source, command-line approaches for handling geographic data. …

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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, …

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