Package index • geospatialsuite

Package Documentation

Overview of the geospatialsuite package

geospatialsuite geospatialsuite-package: geospatialsuite: Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit

Core Vegetation Indices

Calculate vegetation indices from spectral bands

calculate_vegetation_index(): Calculate comprehensive vegetation indices
calculate_multiple_indices(): Calculate multiple vegetation indices at once
calculate_ndvi_enhanced(): Calculate NDVI with time series options
list_vegetation_indices(): Get comprehensive list of available vegetation indices
get_available_indices(): Get available indices
calculate_vegetation_statistics(): Calculate vegetation statistics
calculate_comprehensive_vegetation_stats(): Calculate comprehensive vegetation statistics -

Sample Data Access

Built-in sample datasets for examples and testing

download_sample_data(): Download or access sample datasets for geospatialsuite
list_sample_datasets(): List available sample datasets
get_sample_data(): Get path to sample data file
load_sample_data(): Load sample data directly

Water Quality & Indices

Water indices and quality assessment

calculate_water_index(): Calculate water indices including both NDWI variants
calculate_multiple_water_indices(): Calculate multiple water indices at once
analyze_water_quality_comprehensive(): Analyze water quality comprehensively with flexible data handling
calculate_water_quality_statistics(): Calculate comprehensive water quality statistics
create_water_quality_plot(): Create water quality plot
create_water_quality_plot_robust(): Create robust water quality visualization
analyze_water_bodies(): Analyze water body characteristics using multiple indices
analyze_water_spatial_patterns(): Analyze spatial patterns in water quality data
analyze_water_temporal_patterns(): Analyze temporal patterns in water quality data
list_water_indices(): Get comprehensive list of available water indices
get_water_index_formulas(): Get water index formulas
get_water_index_requirements(): Get water index requirements
validate_water_index_output(): Validate water index output
handle_water_index_edge_cases(): Handle edge cases for water index calculations
mask_invalid_water_values(): Mask invalid values for water indices

Universal Spatial Operations

Spatial join and integration functions

universal_spatial_join(): Universal Spatial Join - Complete Implementation
integrate_terrain_analysis(): Integrate terrain analysis with vector data
integrate_multiple_datasets(): Integrate multiple datasets
raster_to_raster_ops(): Raster to Raster Operations
perform_extract_join(): Perform extract join (vector to raster)
perform_overlay_join(): Perform other join methods (stubs for now)
perform_resample_join(): Perform resample join (raster to raster)
multiscale_operations(): Multi-scale spatial operations

Crop & Agricultural Analysis

CDL crop data analysis and monitoring

analyze_crop_vegetation(): Specialized crop vegetation analysis
create_crop_mask(): Create crop mask from CDL data
create_crop_map(): Create crop map visualization
create_crop_area_map(): Create crop area map -
create_crop_diversity_map(): Create crop diversity map -
create_dominant_crop_map(): Create dominant crop map -
get_comprehensive_cdl_codes(): Get comprehensive CDL crop codes
analyze_cdl_crops_dynamic(): Analyze CDL crops dynamically
analyze_yield_potential(): Analyze yield potential
analyze_growth_stage(): Analyze growth stage
analyze_seasonal_patterns(): Analyze seasonal patterns
select_crop_indices(): Select appropriate indices for crop analysis
add_crop_statistics_overlay(): Add crop statistics overlay
detect_vegetation_stress(): Detect vegetation stress

Visualization & Mapping

Create publication-quality maps

quick_map(): Quick map function - one-line mapping with auto-detection
create_spatial_map(): Create universal spatial map with reliable terra plotting
plot_raster_fast(): Create fast raster plot using terra
plot_rgb_raster(): Create multi-band raster RGB plot
create_ndvi_map(): Create NDVI map visualization
create_interactive_map(): Create interactive map using leaflet (if available)
create_interactive_map_safe(): Create interactive map safely
save_interactive_map(): Save interactive map to file
save_static_map(): Save static map with ggplot2
create_comparison_map(): Create comparison map (before/after, side-by-side)
create_overlay_comparison(): Create overlay comparison
create_base_plot_map(): Create base plot map as fallback
create_ggplot_map_safe(): Create ggplot map safely
create_raster_map_reliable(): Create reliable raster map
add_boundary_overlay(): Add boundary overlay to existing plot
add_points_to_leaflet(): Add points to leaflet -
add_lines_to_leaflet(): Add lines to leaflet -
add_polygons_to_leaflet(): Add polygons to leaflet -
apply_color_scheme_ggplot(): Apply color scheme to ggplot
save_plot_to_file(): Save plot to file with error handling

Spatial Interpolation

Interpolation methods for spatial data

spatial_interpolation(): Legacy spatial interpolation function (for backward compatibility)
spatial_interpolation_comprehensive(): Perform spatial interpolation for missing data
execute_interpolation_method(): Execute specific interpolation method
execute_simple_interpolation(): Execute simple distance weighting interpolation
execute_nn_interpolation(): Execute nearest neighbor interpolation
execute_spline_interpolation(): Execute spline interpolation
execute_mice_interpolation(): Execute MICE interpolation
compare_interpolation_methods(): Compare interpolation methods
select_optimal_method(): Select optimal interpolation method based on data characteristics
assess_data_for_interpolation(): Assess data characteristics for interpolation method selection
perform_cross_validation(): Perform cross-validation for interpolation accuracy
save_interpolation_results(): Save interpolation results to file
compile_interpolation_results(): Compile interpolation results into requested format

Temporal Analysis

Time series and change detection

calculate_temporal_statistics(): Calculate temporal statistics
calculate_temporal_trend(): Calculate temporal trend using linear regression
detect_temporal_changes(): Detect temporal changes between periods
analyze_temporal_changes(): Analyze temporal changes in geospatial data
extract_dates_universal(): Extract dates from filenames using various patterns
match_rasters_by_date(): Match rasters by date
convert_julian_date(): Convert Julian date to standard format
is_valid_date(): Validate date string
save_temporal_results(): Save temporal analysis results
apply_temporal_smoothing(): Apply temporal smoothing

Terrain Analysis

Topographic analysis from DEMs

calculate_advanced_terrain_metrics(): Calculate advanced terrain metrics
calculate_contributing_area(): Calculate contributing area

Raster Operations

Raster processing and mosaicing

create_raster_mosaic(): Create raster mosaic with intelligent file selection
select_rasters_for_region(): Select rasters for specific region with intelligent filtering
extract_aster_coordinates(): Extract coordinates from ASTER filename
load_raster_data(): Load raster data from various sources
load_raster_safe(): Load raster with error handling
load_and_stack_bands(): Load and stack individual band files
load_and_validate_band(): Load and validate spectral band
load_bands_from_directory(): Load bands from directory
mask_invalid_values(): Mask invalid values based on index type
check_raster_compatibility(): Check raster compatibility

Vector Data Processing

Load and process vector data

process_vector_data(): Process vector data from data frame
load_vector_data_safe(): Load vector data safely with coordinate detection
process_spatial_data_safe(): Process spatial data safely with error handling
load_and_process_spatial_data(): Load and process spatial data for interpolation
convert_to_spatial_flexible(): Convert data.frame to sf with flexible coordinate detection
classify_spatial_data(): Classify spatial data type and load data

Geocoding & Auto-Detection

Automatic geocoding and entity detection

auto_geocode_data(): Auto-geocode data with geographic identifiers
preview_geocoding(): Preview geographic entity detection
geocode_entities(): Geocode geographic entities to coordinates
geocode_states(): Geocode US states
geocode_counties(): Geocode US counties
geocode_cities(): Geocode city names
geocode_fips(): Geocode FIPS codes
geocode_hucs(): Geocode HUC watershed codes
geocode_zipcodes(): Geocode ZIP codes
detect_geographic_entities(): Detect and geocode geographic entity columns
detect_coordinate_columns(): Detect coordinate columns automatically
detect_state_column(): Helper to detect state column
detect_huc_level(): Detect HUC level from column name or data
detect_water_quality_columns(): Detect water quality data columns intelligently

Band Detection & Mapping

Automatic spectral band detection

auto_detect_spectral_bands(): Auto-detect spectral bands
extract_bands_from_raster(): Extract bands from multi-band raster
map_custom_band_names(): Map custom band names
get_satellite_band_info(): Get satellite band information

Comprehensive Workflows

End-to-end analysis pipelines

run_comprehensive_geospatial_workflow(): Run comprehensive geospatial workflow -
run_comprehensive_vegetation_workflow(): Run comprehensive vegetation analysis workflow -
run_enhanced_ndvi_crop_workflow(): Run enhanced NDVI crop analysis workflow -
run_enhanced_temporal_workflow(): Run enhanced temporal workflow
run_enhanced_terrain_analysis_workflow(): Run enhanced terrain analysis workflow
run_enhanced_water_quality_workflow(): Run enhanced water quality analysis workflow
run_enhanced_mosaic_workflow(): Run enhanced mosaic workflow
run_multi_dataset_workflow(): Run multi-dataset workflow
run_interactive_mapping_workflow(): Run interactive mapping workflow

Statistics & Correlation

Statistical analysis and correlation

calculate_spatial_correlation(): Calculate spatial correlation between raster layers
analyze_variable_correlations(): Analyze correlations between multiple variables
create_correlation_plots(): Create correlation plots
calculate_skewness(): Calculate skewness for data assessment
perform_threshold_analysis(): Perform threshold analysis

Quality Control & Validation

Data validation and quality filters

validate_raster_input(): Validate raster input
validate_vector_input(): Validate vector input
validate_required_bands(): Validate required bands for specific indices
validate_numeric_range(): Validate numeric range
validate_method(): Validate method parameter
validate_method_compatibility(): Validate method compatibility
validate_output(): Validate output quality
validate_vegetation_analysis(): Validate vegetation analysis
apply_quality_filter(): Apply quality filter to remove outliers
apply_water_quality_filters(): Apply water quality filters
validation-helpers: Input Validation Helpers
handle_outliers_in_data(): Handle outliers in spatial data

Water Data Management

Load and manage water quality data

load_water_quality_data_flexible(): Load water quality data with flexible format handling
load_single_water_dataset(): Load single water quality dataset
combine_water_datasets(): Combine multiple water quality datasets
save_water_quality_results(): Save water quality analysis results

Utilities & Helpers

Helper functions and utilities

get_region_boundary(): Get region boundary for any specified region
check_required_packages(): Check and load required packages
classify_data_input(): Classify data input type
detect_geometry_type(): Detect geometry type automatically
normalize_column_name(): Normalize column names for robust matching
auto_detect_title(): Auto-detect title for quick mapping
auto_detect_variable(): Auto-detect variable for quick mapping
auto_detect_method(): Auto-detect best spatial join method
get_terra_colors(): Get terra colors for plotting
get_reliable_colors(): Get reliable colors for terra plotting
get_summary_function(): Get summary function for terra operations

Index Information & Formulas

Get information about vegetation and water indices

get_index_formulas(): Get index formulas
get_index_ranges(): Get index typical ranges
get_index_references(): Get index references
get_interpretation_guidelines(): Get interpretation guidelines
calculate_index_by_type(): Calculate index by type
handle_index_edge_cases(): Handle edge cases for index calculations

Results & Reporting

Save and export analysis results

save_vegetation_analysis_results(): Save vegetation analysis results
generate_statistics_report(): Generate comprehensive statistics report
generate_html_summary(): Generate HTML summary report
generate_enhanced_analysis_summary(): Generate enhanced analysis summary

Testing & Validation

Package testing and verification

test_geospatialsuite_package_simple(): Test geospatialsuite with simplified, robust tests
test_package_minimal(): Test package with minimal complexity
test_function_availability(): Test individual function existence
quick_diagnostic(): Quick diagnostic check

Examples & Demonstrations

Example workflows and use cases

geocoding_examples: Geocoding Examples and Use Cases