Populated anthromes: from exploratory analysis of demographic data to mapping

Populated anthromes: from exploratory analysis of demographic data to mapping | 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 Populated anthromes: from exploratory analysis of demographic data to mapping Maximiliano Soares Lemos Araujo Gobbo, Thiago de Oliveira Araujo, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5019325/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract This research, developed in R software, sought to analyze Brazilian population data as a source for the construction of regional mapping of anthropogenic biomes, with an eye to its application in national territorial management. Following the guidelines of global mapping of anthromes, the stages of exploratory analysis, mining, merging and plotting of census data were carried out to recognize and identify relevant characteristics of population groups for the construction of the mapping of Brazilian populated anthromes. Sequentially, static and interactive mappings were constructed to verify the spatialization of census information in the maps. In addition, validation and uncertainty studies of the mappings were produced to confirm the quality of the products generated in this research. Given the results obtained, it was found that the regional mapping of populated anthromes significantly approximated the population information to the local reality, compared to the global mapping of terrestrial anthromes. It was also found that the data source analyzed provided sufficient information for the distribution of the population in the mapping of populated anthromes, characterizing and specializing it according to the original data. Furthermore, the statistical analyses proved that the modeling used in this investigation generated relevant results that ensured the quality of the mapping. Thus, it was proven that the data used and the modeling were suitable for future use in constructing the regional mapping of Brazilian anthromes. In addition, an analytical format was established that can be replicated in different territorial contexts that aim to apply anthrome modeling in territorial management. anthromes mapping data analysis geocomputation R software Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 19 Sep, 2024 Submission checks completed at journal 02 Sep, 2024 First submitted to journal 02 Sep, 2024 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-5019325","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":356504395,"identity":"dacd6c22-b415-4186-9a3a-1381a6168a95","order_by":0,"name":"Maximiliano Soares Lemos Araujo Gobbo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIiWNgGAWjYLACxoYDDPzMzAeATAkZ4rVItrMlgLTwEK/F4DyPAYhNWItu+xnjFx933JEzOMzz+dWNGgseBvbDRzfg02J2Ji3NcuaZZ8aSh3m3WeccAzqMJy3tBl4tB5KPGfO2HU7sA2oxzmEDapHgMcOv5fzDNrCWhsM8z4xz/hGj5Uby4ccgLRMO8zA/zm0jSsuzNEawX5rZzJhz+yR42Aj65XyO8QdQiPHzH378OedbnRw/++FjeLUAAZsECoONgHIQYP6AzhgFo2AUjIJRgAIAzbhOmvR5yUQAAAAASUVORK5CYII=","orcid":"","institution":"National Institute of Metrology, Quality and Technology (INMETRO)","correspondingAuthor":true,"prefix":"","firstName":"Maximiliano","middleName":"Soares Lemos Araujo","lastName":"Gobbo","suffix":""},{"id":356504396,"identity":"ff1e0ec8-dac7-4e0d-b839-897ef25ecc4d","order_by":1,"name":"Thiago de Oliveira Araujo","email":"","orcid":"","institution":"National Institute of Metrology, Quality and Technology (INMETRO)","correspondingAuthor":false,"prefix":"","firstName":"Thiago","middleName":"de Oliveira","lastName":"Araujo","suffix":""},{"id":356504398,"identity":"13fda876-6954-46ff-a9b3-a2006bad5128","order_by":2,"name":"Claudia de Oliveira Faria Salema","email":"","orcid":"","institution":"National Institute of Metrology, Quality and Technology (INMETRO)","correspondingAuthor":false,"prefix":"","firstName":"Claudia","middleName":"de Oliveira Faria","lastName":"Salema","suffix":""}],"badges":[],"createdAt":"2024-09-02 14:55:45","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5019325/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5019325/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":65932446,"identity":"46512901-40de-480f-a16f-ba78ad412c2d","added_by":"auto","created_at":"2024-10-04 14:19:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1983117,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptpopulatedanthromes.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5019325/v1_covered_077c49a6-2fc4-4dd5-a6c0-62745d67dfc7.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Populated anthromes: from exploratory analysis of demographic data to mapping","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":"international-journal-of-data-science-and-analytics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jdsa","sideBox":"Learn more about [International Journal of Data Science and Analytics](http://link.springer.com/journal/41060)","snPcode":"41060","submissionUrl":"https://submission.nature.com/new-submission/41060/3","title":"International Journal of Data Science and Analytics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"anthromes, mapping, data analysis, geocomputation, R software","lastPublishedDoi":"10.21203/rs.3.rs-5019325/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5019325/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis research, developed in R software, sought to analyze Brazilian population data as a source for the construction of regional mapping of anthropogenic biomes, with an eye to its application in national territorial management. 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