<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5" xml:lang="en"><docDscr><citation><titlStmt><titl xml:lang="en">Deforestation Hotspots in Brazil, 2005-2012</titl><IDNo agency="DOI">doi:10.60507/FK2/FR6LSN</IDNo></titlStmt><distStmt><distrbtr source="archive">bonndata</distrbtr><distDate>2023-09-18</distDate></distStmt><verStmt source="archive"><version date="2023-09-18" type="RELEASED">1</version></verStmt><biblCit>Javier Miranda, 2023, "Deforestation Hotspots in Brazil, 2005-2012", https://doi.org/10.60507/FK2/FR6LSN, bonndata, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl xml:lang="en">Deforestation Hotspots in Brazil, 2005-2012</titl><IDNo agency="DOI">doi:10.60507/FK2/FR6LSN</IDNo><IDNo agency="ZEF Data Portal">451a5fca-d532-47a4-a0c3-5d8b71c009f4</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn">Javier Miranda</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">bonndata</distrbtr><contact affiliation="Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn" email="javmi@yahoo.com">Javier Miranda</contact></distStmt><holdings URI="https://doi.org/10.60507/FK2/FR6LSN"/></citation><stdyInfo><subject><keyword xml:lang="en">Other</keyword><topcClas vocab="GEMET - Concepts, version 2.4">deforestation</topcClas></subject><abstract xml:lang="en">Natural land resources in Brazil have been subject to strong pressure from agricultural expansion over the past two decades. This map identifies and classifies deforestation hotspots in the Southern American country. Moreover, it hints to land use change dynamics such as leakage effects in tropical areas. The map represents the period between 2005-2012, and classifies deforestation hotspots in three categories:  a) reduced, b) increased, and c) new.

Quality/Lineage: Land cover information from Global Forest Watch (https://data.globalforestwatch.org/) was used to identify deforested pixels per year. ArcGIS 10 was used to create spatial statistics of yearly information. R and RStudio were used to classify each grid cell as a hotspot and its type, and to convert the resulting cover information into a shapefile.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2005-01-01">2005-01-01</timePrd><timePrd cycle="P1" event="end" date="2012-12-31">2012-12-31</timePrd><collDate cycle="P1" event="start" date="2012-12-27">2012-12-27</collDate><collDate cycle="P1" event="end" date="2012-12-27">2012-12-27</collDate><nation>Brazil</nation><geoBndBox><westBL>-74.018</westBL><eastBL>-28.877</eastBL><southBL>-33.742</southBL><northBL>5.2672</northBL></geoBndBox></sumDscr><notes>This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={451a5fca-d532-47a4-a0c3-5d8b71c009f4}.&lt;br/>
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