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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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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