<?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"><docDscr><citation><titlStmt><titl>Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities</titl><IDNo agency="DOI">doi:10.48349/ASU/BCHZPR</IDNo></titlStmt><distStmt><distrbtr source="archive">ASU Library Research Data Repository</distrbtr><distDate>2020-11-30</distDate></distStmt><verStmt source="archive"><version date="2020-11-30" type="RELEASED">2</version></verStmt><biblCit>Meerow, Sara, 2020, "Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities", https://doi.org/10.48349/ASU/BCHZPR, ASU Library Research Data Repository, V2</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities</titl><IDNo agency="DOI">doi:10.48349/ASU/BCHZPR</IDNo><IDNo agency="Harvard Dataverse">doi:10.7910/DVN/UVHZGJ</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Arizona State University">Meerow, Sara</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">ASU Library Research Data Repository</distrbtr><contact affiliation="Arizona State University" email="sara.meerow@asu.edu">Meerow, Sara</contact><depositr>Meerow, Sara</depositr><depDate>2019-10-03</depDate></distStmt><holdings URI="https://doi.org/10.48349/ASU/BCHZPR"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>green infrastructure</keyword><keyword>spatial planning</keyword></subject><abstract date="2019-10-03">These shapefiles contain the data for the GISP model for Los Angeles, New York City, and Manila as described in Meerow (2019) A Green Infrastructure Spatial Planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities. &lt;a href="https://iopscience.iop.org/article/10.1088/1748-9326/ab502c">https://iopscience.iop.org/article/10.1088/1748-9326/ab502c&lt;/a> For each dataset crit01 is criterion 1 (managing stormwater); crit02 is criterion 2 (reducing social vulnerability), crit03 is criterion 3 (increasing access to green space), crit04 is criterion 4 (reducing the urban heat island effect), crit05 is criterion 5 (improving air quality), and crit06 is criterion 6 (increasing landscape connectivity). equal_w is a weighted linear combination of all six criteria using equal weights and pairwise_w is a weighted linear combination of all six criteria using stakeholder pairwise comparison weights.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f711" URI="https://dataverse.asu.edu/api/access/datafile/711" level="datafile"><labl>GISP_Los_Angeles.zip</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zipped-shapefile</notes></otherMat><otherMat ID="f713" URI="https://dataverse.asu.edu/api/access/datafile/713" level="datafile"><labl>GISP_Manila.zip</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zipped-shapefile</notes></otherMat><otherMat ID="f710" URI="https://dataverse.asu.edu/api/access/datafile/710" level="datafile"><labl>GISP_New_York.zip</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zipped-shapefile</notes></otherMat></codeBook>