Integrating Psychosocial Factors with Geospatial Analytics to Assess Community Climate Resilience

Integrating Psychosocial Factors with Geospatial Analytics to Assess Community Climate Resilience | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Integrating Psychosocial Factors with Geospatial Analytics to Assess Community Climate Resilience Uma Maheswara Rao Sirigiri, Rakesh Gandla This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8775999/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Conventional climate adaptation strategies emphasize infrastructure, hazard modelling, and ecosystem management while underestimating psychological processes that shape how communities perceive and respond to climatic risks. Cognitive appraisal, emotional attachment, and behavioural engagement fundamentally influence preparedness, adaptation, and recovery. This study introduces GeoPsyche Futures , an interdisciplinary framework that integrates psychological indicators with geospatial analytics to map community resilience in a holistic, human-centered way. A cross-sectional study among 648 residents in a flood-prone coastal neighbourhood of Visakhapatnam, India, combined validated psychosocial measures with participatory GIS mapping, exploratory factor analysis, spatial autocorrelation, and OLS/GWR modelling. Three resilience dimensions—cognitive, emotional, and behavioural—explained 83.2% of the variance (KMO = 0.84). Spatial patterns (Moran’s I = 0.36, p < 0.01) revealed clustered resilience dynamics, and regression analyses demonstrated that emotional and behavioural factors were stronger predictors of preparedness behaviours (R² = 0.64) than cognitive variables. The GeoPsyche Resilience Index (GPRI) further illuminated stratified resilience zones. These findings highlight the urgent need to integrate psychological insights into climate adaptation planning and contribute directly to SDGs 3, 11, and 13. Geospatial analytics Community resilience Environmental psychology Participatory GIS Place attachment Climate adaptation Risk perception GeoPsyche Resilience Index Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 08 May, 2026 Reviewers agreed at journal 01 May, 2026 Reviews received at journal 05 Apr, 2026 Reviewers agreed at journal 28 Mar, 2026 Reviewers invited by journal 20 Feb, 2026 Editor assigned by journal 14 Feb, 2026 Submission checks completed at journal 13 Feb, 2026 First submitted to journal 13 Feb, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8775999","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":594543955,"identity":"8c183c26-65ca-41dd-89d5-8a8e9f68d3a9","order_by":0,"name":"Uma Maheswara Rao Sirigiri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1UlEQVRIiWNgGAWjYFACxgaGBAYJBjb2BiDHwIIULTwHQFokSLFNIgFMElZocP5w24cHvyzy+SSfX93wo0CCgb+9OwG/lhuJzTMS+yQs26Rzym72AB0mcebsBgJaGJsZEnskDNikc9Ju8AC1GEjkEtBy/iBUi+SZtJt/iNJyILGZIeEHUIsE+7HbRNkiCfQLQ2IDUAtPDtttGQMJHoJ+4Tt//DHjjz91BvLtx5/dfPPHRo6/vRe/FjBgbAORPAZgkrByMPgDItgfEKl6FIyCUTAKRhoAAGbQRQI9m0qaAAAAAElFTkSuQmCC","orcid":"","institution":"Jain University","correspondingAuthor":true,"prefix":"","firstName":"Uma","middleName":"Maheswara Rao","lastName":"Sirigiri","suffix":""},{"id":594543956,"identity":"b62bcac1-87f2-4358-9b6b-03cf1eb2e225","order_by":1,"name":"Rakesh Gandla","email":"","orcid":"","institution":"Managers Without Borders Community Confederation","correspondingAuthor":false,"prefix":"","firstName":"Rakesh","middleName":"","lastName":"Gandla","suffix":""}],"badges":[],"createdAt":"2026-02-03 12:53:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8775999/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8775999/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103506946,"identity":"df1970f2-79b9-4e2f-9c32-d4c078c4b63d","added_by":"auto","created_at":"2026-02-26 13:40:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":838916,"visible":true,"origin":"","legend":"","description":"","filename":"UmaMaheswaraRaoFPGISSuRF045Final.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8775999/v1_covered_03d990ed-99f0-451a-a68a-2d1c9285762a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Integrating Psychosocial Factors with Geospatial Analytics to Assess Community Climate Resilience","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-global-society","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Global Society](https://www.springer.com/journal/44282)","snPcode":"44282","submissionUrl":"https://submission.nature.com/new-submission/44282/3","title":"Discover Global Society","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Geospatial analytics, Community resilience, Environmental psychology, Participatory GIS, Place attachment, Climate adaptation, Risk perception, GeoPsyche Resilience Index","lastPublishedDoi":"10.21203/rs.3.rs-8775999/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8775999/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eConventional climate adaptation strategies emphasize infrastructure, hazard modelling, and ecosystem management while underestimating psychological processes that shape how communities perceive and respond to climatic risks. Cognitive appraisal, emotional attachment, and behavioural engagement fundamentally influence preparedness, adaptation, and recovery. This study introduces \u003cem\u003eGeoPsyche Futures\u003c/em\u003e, an interdisciplinary framework that integrates psychological indicators with geospatial analytics to map community resilience in a holistic, human-centered way. A cross-sectional study among 648 residents in a flood-prone coastal neighbourhood of Visakhapatnam, India, combined validated psychosocial measures with participatory GIS mapping, exploratory factor analysis, spatial autocorrelation, and OLS/GWR modelling. Three resilience dimensions\u0026mdash;cognitive, emotional, and behavioural\u0026mdash;explained 83.2% of the variance (KMO\u0026thinsp;=\u0026thinsp;0.84). Spatial patterns (Moran\u0026rsquo;s I\u0026thinsp;=\u0026thinsp;0.36, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) revealed clustered resilience dynamics, and regression analyses demonstrated that emotional and behavioural factors were stronger predictors of preparedness behaviours (R\u0026sup2; = 0.64) than cognitive variables. The GeoPsyche Resilience Index (GPRI) further illuminated stratified resilience zones. These findings highlight the urgent need to integrate psychological insights into climate adaptation planning and contribute directly to SDGs 3, 11, and 13.\u003c/p\u003e","manuscriptTitle":"Integrating Psychosocial Factors with Geospatial Analytics to Assess Community Climate Resilience","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-24 17:37:58","doi":"10.21203/rs.3.rs-8775999/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-05-09T00:45:09+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"283577170291526376525636672887912890452","date":"2026-05-01T08:25:21+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-06T00:44:16+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"172093372487132220736239566109480757736","date":"2026-03-28T05:59:16+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-02-20T15:26:16+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-02-14T18:49:21+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-02-13T17:35:01+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Global Society","date":"2026-02-13T17:29:28+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-global-society","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Global Society](https://www.springer.com/journal/44282)","snPcode":"44282","submissionUrl":"https://submission.nature.com/new-submission/44282/3","title":"Discover Global Society","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"220fe887-6daf-4f5a-85d1-a78c15289511","owner":[],"postedDate":"February 24th, 2026","published":true,"recentEditorialEvents":[{"type":"editorInvitedReview","content":"","date":"2026-05-09T00:45:09+00:00","index":77,"fulltext":""},{"type":"reviewerAgreed","content":"283577170291526376525636672887912890452","date":"2026-05-01T08:25:21+00:00","index":75,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-02-24T17:37:58+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-24 17:37:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8775999","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8775999","identity":"rs-8775999","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}