Publication: Building and Managing Local Databases from Google Earth Engine with the geeLite R Package
dc.contributor.author | Kurbucz, Marcell T. | |
dc.contributor.author | Andrée, Bo Pieter Johannes | |
dc.date.accessioned | 2025-05-08T21:00:31Z | |
dc.date.available | 2025-05-08T21:00:31Z | |
dc.date.issued | 2025-05-08 | |
dc.description.abstract | Google 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.identifier | http://documents.worldbank.org/curated/en/099459405072542252 | |
dc.identifier.doi | https://doi.org/10.1596/1813-9450-11115 | |
dc.identifier.uri | https://hdl.handle.net/10986/43165 | |
dc.language | English | |
dc.language.iso | en_US | |
dc.publisher | Washington, DC: World Bank | |
dc.relation.ispartofseries | Policy Research Working Paper; 11115 | |
dc.rights | CC BY 3.0 IGO | |
dc.rights.holder | World Bank | |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/igo/ | |
dc.subject | GOOGLE EARTH ENGINE | |
dc.subject | GEOGRAPHIC INFORMATION SYSTEM | |
dc.subject | REMOTE SENSING | |
dc.subject | RASTER DATA | |
dc.subject | SPATIO-TEMPORAL DATA | |
dc.subject | SOFTWARE | |
dc.title | Building and Managing Local Databases from Google Earth Engine with the geeLite R Package | en |
dc.type | Working Paper | |
dspace.entity.type | Publication | |
okr.date.disclosure | 2025-05-08 | |
okr.date.doiregistration | 2025-05-10T02:56:31.694889Z | |
okr.date.lastmodified | 2025-05-08T15:05:00Z | en |
okr.doctype | Policy Research Working Paper | |
okr.doctype | Publications & Research | |
okr.docurl | http://documents.worldbank.org/curated/en/099459405072542252 | |
okr.guid | 099459405072542252 | |
okr.identifier.docmid | IDU-fbd47ca8-3cf6-47d4-b372-2b92936334c6 | |
okr.identifier.doi | 10.1596/1813-9450-11115 | |
okr.identifier.externaldocumentum | 40011435 | |
okr.identifier.internaldocumentum | 40011435 | |
okr.identifier.report | WPS11115 | |
okr.import.id | 7311 | |
okr.imported | true | en |
okr.language.supported | en | |
okr.pdfurl | https://documents.worldbank.org/curated/en/099459405072542252/pdf/IDU-fbd47ca8-3cf6-47d4-b372-2b92936334c6.pdf | en |
okr.region.geographical | World | |
okr.topic | Macroeconomics and Economic Growth::Economic Modeling and Statistics | |
okr.topic | Industry::Industrial and Market Data and Reporting | |
okr.topic | Private Sector Development::Corporate Data and Reporting | |
okr.topic | Macroeconomics and Economic Growth::Markets and Market Access | |
okr.unit | Development Data Group (DECDG) | |
relation.isSeriesOfPublication | 26e071dc-b0bf-409c-b982-df2970295c87 | |
relation.isSeriesOfPublication.latestForDiscovery | 26e071dc-b0bf-409c-b982-df2970295c87 |
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