In r-earthengine/rgeeExtra: Extensions for 'rgee'

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = FALSE
)

rgeeExtra serves as a wrapper for the Python package named eeExtra. The creation of eeExtra was driven by a need to consolidate various third-party GEE Javascript and Python packages and projects found on GitHub in the same programming language and style, avoiding dependencies. rgeeExtra ensures a seamless integration of eeExtra within the R ecosystem

library(rgeeExtra)
library(rgee)

ee_Initialize()        # Initialize the Google Earth Engine API connection
extra_Initialize()     # Load the extended functionalities of rgeeExtra

Features for `ee$FeatureCollection`

ee$FeatureCollection objects represent geographic features which are fundamental to spatial analyses. Enhanced manipulation of these objects in R can significantly streamline workflows.

1. Subsetting

The [[ method enables extraction or modification of specific elements within an ee$FeatureCollection by index. This function is essential for segmenting and managing subsets of features in Earth Engine for targeted geographic analysis.

# Load and select the first two features from 'TIGER/2016/Roads' collection.
fc_tiger <- ee$FeatureCollection('TIGER/2016/Roads')
fc_tiger_subset <- fc_tiger[[1:2]]

# Center and display the selected features on the map.
Map$centerObject(fc_tiger_subset)
Map$addLayer(fc_tiger_subset)

2. Names

The names function for ee$FeatureCollection retrieves the names of properties, providing a clear overview of attributes within Earth Engine's feature collections for effective data management and analysis.

# Load the 'WRI/GPPD/power_plants' Feature Collection from Earth Engine.
fc <- ee$FeatureCollection('WRI/GPPD/power_plants')

# List the methods and properties available for the feature collection.
methodsProperties <- names(fc)
# Output includes methods like "aggregate_array", "filter", "map", and properties like "args", "name".