Provides standardized data structure and validation for sampling point coordinates following constitutional principles for spatial analysis excellence and code quality.
Usage
create_sampling_locations(
coordinates,
sample_ids = NULL,
types = "new",
models = "unknown",
field_data = NULL,
additional_columns = NULL
)Arguments
- coordinates
Matrix or data.frame with x, y coordinates
- sample_ids
Character vector of unique identifiers
- types
Character vector of location types (existing, new, validation)
- models
Character vector of model attribution (UDL, UFN, manual)
- field_data
Field data list for boundary validation
- additional_columns
Named list of additional columns to include
Details
SamplingLocations ensures consistent representation of sampling points with proper validation, coordinate checking, and metadata management. All locations are validated for spatial integrity and constitutional compliance. Create standardized sampling locations data frame
Examples
if (FALSE) { # \dontrun{
# Create sampling locations
coords <- data.frame(x = c(100, 200, 300), y = c(100, 200, 300))
locations <- create_sampling_locations(
coordinates = coords,
sample_ids = c("S001", "S002", "S003"),
types = c("existing", "new", "new"),
models = c("manual", "UDL", "UDL"),
field_data = field_data
)
} # }