TLTR: This is a last blog post in a series about motif - an R package aimed for pattern-based spatial analysis. It sums up previous posts, but also underlines potential considerations when working with spatial patterns. Finally, it lists underexplored...

TLTR: Clustering similar spatial patterns requires one or more raster datasets for the same area. Input data is divided into many sub-areas, and spatial signatures are derived for each sub-area. Next, distances between signatures for each sub-area are...

TLTR: Quantifing changes of spatial patterns requires two datasets for the same variable in the same area. Both datasets are divided into many sub-areas, and spatial signatures are derived for each sub-area for each dataset. Next, distances for each p...

TLTR: Finding similar spatial patterns requires data for a query region and a search space. Spatial signatures are derived for the query region and many sub-areas of the search space, and distances between them are calculated. Sub-areas with the small...

TLTR: Spatial signatures are multi-value representations of the patterns that compress information about spatial composition and configuration. Spatial signatures can be directly compared using various distance measures. Describing categorical ras...

TLTR: motif is an R package aimed for pattern-based spatial analysis. It allows for spatial analysis such as search, change detection, and clustering to be performed on spatial patterns. This blog post introduces basic ideas behind the pattern-based s...

Bivariate color palettes are products of combining two separate color palettes. They are usually represented by a square with rows (one color palette) and columns (second color palette). You can more about how they are made in the blog post “Bi...

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 cells having the same race categories. ...

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 ...

R version 4.0 is just around the corner. One of the changes in the new version is the improved default color palette using the palette() function. Proposed colors The new proposed palette() default is less saturated and more balanced, while at the same time, it follows the same basic pattern of ...

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 allowing for reproducing these results and encouraging to try ...

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 ...

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 ...

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. We’re very happy that it’...

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 ...

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. ...

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 ...