Building and Managing Local Databases from 'Google Earth Engine'
Aggregate Data by Frequency
Perform a Single Drive Export for Multiple Geometry Chunks
Check Google Earth Engine connection
Clean Contents or Entire Google Drive Folders by Name
Compare Lists and Highlight Differences
Compare Vectors and Highlight Differences
Collect and Process Grid Statistics
Create or Open the Database Connection
Internal Dummy Function for Declared Imports
Minimal Replacement for tidyrgee::as_tidyee
Expand Data to Daily Frequency
Extract Large-Scale Statistics in Drive Mode with Fewer Tasks
Fetch ISO 3166-1 Country Codes
Fetch ISO 3166 Country and Subdivision Codes
Fetch ISO 3166-2 Subdivision Codes
Fetch Variable Information from an SQLite Database
Install and Configure a Conda Environment for 'rgee'
Print Earth Engine and Python Environment Information
Define Output Messages
Create Batches from an sf Object
Produce Batches for Build/Update Mixed Cases
Get H3 Bins for Shapes
Determine the Cases of Data Collection Requests
Print the Configuration File
Obtain H3 Hexagonal Grid
Retrieve Images and Related Information
Print JSON File
Get Reducers
Get Shapes for Specified Regions
Print the State File
Generate Session Task
Initialize Post-Processing Folder and Files
Simple Linear Interpolation
Load External Post-Processing Functions
Extract Statistics Locally for a Single Geometry Chunk
Modify Configuration File
Output Message
Display geeLite Package Version
Process a Single Source File
Process Source Files
Process Marked Vector
Reading, Aggregating, and Processing the SQLite Database
Read Grid from Database
Read Variables from Database
Remove Tables from the Database
Build and Update the Grid Statistics Database
Initialize CLI Files
Initialize the Configuration File
Set Dependencies
Generate Necessary Directories
Set Progress Bar
Source an R Script with Notifications About Functions Loaded
Update Grid Statistics
Validate Parameters
Validate Source Parameter
Validate and Process Parameters for Variable Selection and Data Proces...
Write Grid Statistics to Database
Write Grid to Database
Write Log File
Write State File
Simplifies the creation, management, and updating of local databases using data extracted from 'Google Earth Engine' ('GEE'). It integrates with 'GEE' to store, aggregate, and process spatio-temporal data, leveraging 'SQLite' for efficient, serverless storage. The 'geeLite' package provides utilities for data transformation and supports real-time monitoring and analysis of geospatial features, making it suitable for researchers and practitioners in geospatial science. For details, see Kurbucz and Andrée (2025) "Building and Managing Local Databases from Google Earth Engine with the geeLite R Package" <https://hdl.handle.net/10986/43165>.