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2405.06559v1.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/106089 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/106089 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/106089 106099 2 322310 document 106099 small.jpg image/png caff7746bec246e1caa56264860a0147 MD5 1611 2024-05-13 09:06:26 https://pure.iiasa.ac.at/id/eprint/19714/6/small.jpg 19714 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/106089 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/106089 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/106089 archive 353 disk0/00/01/97/14 2024-05-13 08:57:20 2025-03-12 05:01:14 2024-05-13 08:57:20 article show 1 Nowosad J. Hesselbarth M. 2412 0000-0003-1125-9918 submitted BNR BEC This book chapter emphasizes the significance of categorical raster data in ecological studies, specifically land use or land cover (LULC) data, and highlights the pivotal role of landscape metrics and pattern-based spatial analysis in comprehending environmental patterns and their dynamics. It explores the usage of R packages, particularly landscapemetrics and motif, for quantifying and analyzing landscape patterns using LULC data from three distinct European regions. It showcases the computation, visualization, and comparison of landscape metrics, while also addressing additional features such as patch value extraction, sub-region sampling, and moving window computation. Furthermore, the chapter delves into the intricacies of pattern-based spatial analysis, explaining how spatial signatures are computed and how the motif package facilitates comparisons and clustering of landscape patterns. The chapter concludes by discussing the potential of customization and expansion of the presented tools. 2024-05 published 10.48550/arXiv.2405.06559 3606 public arXiv FALSE no info:eu-repo/semantics/article