View source: R/13-water-quality.R
| analyze_water_quality_comprehensive | R Documentation |
Complete water quality analysis with flexible data input handling, robust error checking, and comprehensive spatial integration. Supports any water quality dataset format with automatic column detection and standardized processing.
analyze_water_quality_comprehensive(
water_data,
variable = NULL,
region_boundary = NULL,
river_network = NULL,
output_folder = tempdir(),
thresholds = NULL,
coord_cols = NULL,
date_column = NULL,
station_id_col = NULL,
quality_filters = list(),
verbose = FALSE
)
water_data |
Water quality data in various formats:
|
variable |
Variable to analyze (auto-detected if NULL) |
region_boundary |
Region boundary (optional) |
river_network |
Optional river network data for context |
output_folder |
Output directory (default: tempdir()) |
thresholds |
Named list of threshold values for classification (optional) |
coord_cols |
Coordinate column names (auto-detected if NULL) |
date_column |
Date/time column name (auto-detected if NULL) |
station_id_col |
Station ID column name (auto-detected if NULL) |
quality_filters |
Quality control filters to apply |
verbose |
Print detailed progress messages |
List with comprehensive water quality analysis results:
water_data: Processed spatial data
statistics: Summary statistics by variable and category
spatial_analysis: Spatial pattern analysis
temporal_analysis: Temporal trends (if date data available)
threshold_analysis: Threshold exceedance analysis
output_files: Paths to generated output files
metadata: Analysis metadata and parameters
## Not run:
# These examples require external data files not included with the package
# Flexible data input - auto-detects columns
results <- analyze_water_quality_comprehensive("water_stations.csv")
# Specify parameters for custom data
results <- analyze_water_quality_comprehensive(
water_data = my_data,
variable = "nitrate_concentration",
region_boundary = "Ohio",
coord_cols = c("longitude", "latitude"),
thresholds = list(
Normal = c(0, 2),
Elevated = c(2, 5),
High = c(5, 10),
Critical = c(10, Inf)
)
)
# Multi-dataset analysis
results <- analyze_water_quality_comprehensive(
water_data = list(
surface = "surface_water.csv",
groundwater = "groundwater.csv"
),
variable = "total_nitrogen"
)
## End(Not run)
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