Publication:
Building and Managing Local Databases from Google Earth Engine with the geeLite R Package

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dc.contributor.authorKurbucz, Marcell T.
dc.contributor.authorAndrée, Bo Pieter Johannes
dc.date.accessioned2025-05-08T21:00:31Z
dc.date.available2025-05-08T21:00:31Z
dc.date.issued2025-05-08
dc.description.abstractGoogle Earth Engine has transformed geospatial analysis by providing access to petabytes of satellite imagery and geospatial data, coupled with the substantial computational power required for in-depth analysis. This accessibility empowers scientists, researchers, and non-experts alike to address critical global challenges on an unprecedented scale. In recent years, numerous R packages have emerged to leverage Google Earth Engine’s functionalities. However, constructing and managing complex spatio-temporal databases for monitoring changes in remotely sensed data remains a challenging task that often necessitates advanced coding skills. To bridge this gap, geeLite, a novel R package, is introduced to facilitate the construction, management, and updating of local databases for Google Earth Engine-computed geospatial features, which enables users to monitor their evolution over time. By storing geospatial features in SQLite format—a serverless and self-contained database solution requiring no additional setup or administration—geeLite simplifies the data collection process. Furthermore, it streamlines the conversion of stored data into native R formats and provides functions for aggregating and processing created databases to meet specific user needs.en
dc.identifierhttp://documents.worldbank.org/curated/en/099459405072542252
dc.identifier.doi10.1596/1813-9450-11115
dc.identifier.urihttps://hdl.handle.net/10986/43165
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 11115
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectGOOGLE EARTH ENGINE
dc.subjectGEOGRAPHIC INFORMATION SYSTEM
dc.subjectREMOTE SENSING
dc.subjectRASTER DATA
dc.subjectSPATIO-TEMPORAL DATA
dc.subjectSOFTWARE
dc.titleBuilding and Managing Local Databases from Google Earth Engine with the geeLite R Packageen
dc.typeWorking Paper
dspace.entity.typePublication
okr.date.disclosure2025-05-08
okr.date.doiregistration2025-05-10T02:56:31.694889Z
okr.date.lastmodified2025-05-08T15:05:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099459405072542252
okr.guid099459405072542252
okr.identifier.docmidIDU-fbd47ca8-3cf6-47d4-b372-2b92936334c6
okr.identifier.doi10.1596/1813-9450-11115
okr.identifier.externaldocumentum40011435
okr.identifier.internaldocumentum40011435
okr.identifier.reportWPS11115
okr.import.id7311
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttps://documents.worldbank.org/curated/en/099459405072542252/pdf/IDU-fbd47ca8-3cf6-47d4-b372-2b92936334c6.pdfen
okr.region.geographicalWorld
okr.topicMacroeconomics and Economic Growth::Economic Modeling and Statistics
okr.topicIndustry::Industrial and Market Data and Reporting
okr.topicPrivate Sector Development::Corporate Data and Reporting
okr.topicMacroeconomics and Economic Growth::Markets and Market Access
okr.unitDevelopment Data Group (DECDG)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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