Man pages for geospatialsuite
Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit

add_boundary_overlayAdd boundary overlay to existing plot
add_crop_statistics_overlayAdd crop statistics overlay
add_lines_to_leafletAdd lines to leaflet -
add_points_to_leafletAdd points to leaflet -
add_polygons_to_leafletAdd polygons to leaflet -
analyze_cdl_crops_dynamicAnalyze CDL crops dynamically
analyze_crop_vegetationSpecialized crop vegetation analysis
analyze_growth_stageAnalyze growth stage
analyze_seasonal_patternsAnalyze seasonal patterns
analyze_temporal_changesAnalyze temporal changes in geospatial data
analyze_variable_correlationsAnalyze correlations between multiple variables
analyze_water_bodiesAnalyze water body characteristics using multiple indices
analyze_water_quality_comprehensiveAnalyze water quality comprehensively with flexible data...
analyze_water_spatial_patternsAnalyze spatial patterns in water quality data
analyze_water_temporal_patternsAnalyze temporal patterns in water quality data
analyze_yield_potentialAnalyze yield potential
apply_color_scheme_ggplotApply color scheme to ggplot
apply_quality_filterApply quality filter to remove outliers
apply_temporal_smoothingApply temporal smoothing
apply_water_quality_filtersApply water quality filters
assess_data_for_interpolationAssess data characteristics for interpolation method...
auto_detect_methodAuto-detect best spatial join method
auto_detect_spectral_bandsAuto-detect spectral bands
auto_detect_titleAuto-detect title for quick mapping
auto_detect_variableAuto-detect variable for quick mapping
auto_geocode_dataAuto-geocode data with geographic identifiers
calculate_advanced_terrain_metricsCalculate advanced terrain metrics
calculate_comprehensive_vegetation_statsCalculate comprehensive vegetation statistics -
calculate_contributing_areaCalculate contributing area
calculate_index_by_typeCalculate index by type
calculate_multiple_indicesCalculate multiple vegetation indices at once
calculate_multiple_water_indicesCalculate multiple water indices at once
calculate_ndvi_enhancedCalculate NDVI with time series options
calculate_skewnessCalculate skewness for data assessment
calculate_spatial_correlationCalculate spatial correlation between raster layers
calculate_temporal_statisticsCalculate temporal statistics
calculate_temporal_trendCalculate temporal trend using linear regression
calculate_vegetation_indexCalculate comprehensive vegetation indices
calculate_vegetation_statisticsCalculate vegetation statistics
calculate_water_indexCalculate water indices including both NDWI variants
calculate_water_quality_statisticsCalculate comprehensive water quality statistics
check_raster_compatibilityCheck raster compatibility
check_required_packagesCheck and load required packages
classify_data_inputClassify data input type
classify_spatial_dataClassify spatial data type and load data
combine_water_datasetsCombine multiple water quality datasets
compare_interpolation_methodsCompare interpolation methods
compile_interpolation_resultsCompile interpolation results into requested format
convert_julian_dateConvert Julian date to standard format
convert_to_spatial_flexibleConvert data.frame to sf with flexible coordinate detection
create_base_plot_mapCreate base plot map as fallback
create_comparison_mapCreate comparison map (before/after, side-by-side)
create_correlation_plotsCreate correlation plots
create_crop_area_mapCreate crop area map -
create_crop_diversity_mapCreate crop diversity map -
create_crop_mapCreate crop map visualization
create_crop_maskCreate crop mask from CDL data
create_dominant_crop_mapCreate dominant crop map -
create_ggplot_map_safeCreate ggplot map safely
create_interactive_mapCreate interactive map using leaflet (if available)
create_interactive_map_safeCreate interactive map safely
create_ndvi_mapCreate NDVI map visualization
create_overlay_comparisonCreate overlay comparison
create_raster_map_reliableCreate reliable raster map
create_raster_mosaicCreate raster mosaic with intelligent file selection
create_spatial_mapCreate universal spatial map with reliable terra plotting
create_water_quality_plotCreate water quality plot
create_water_quality_plot_robustCreate robust water quality visualization
detect_coordinate_columnsDetect coordinate columns automatically
detect_geographic_entitiesDetect and geocode geographic entity columns
detect_geometry_typeDetect geometry type automatically
detect_huc_levelDetect HUC level from column name or data
detect_state_columnHelper to detect state column
detect_temporal_changesDetect temporal changes between periods
detect_vegetation_stressDetect vegetation stress
detect_water_quality_columnsDetect water quality data columns intelligently
execute_interpolation_methodExecute specific interpolation method
execute_mice_interpolationExecute MICE interpolation
execute_nn_interpolationExecute nearest neighbor interpolation
execute_simple_interpolationExecute simple distance weighting interpolation
execute_spline_interpolationExecute spline interpolation
extract_aster_coordinatesExtract coordinates from ASTER filename
extract_bands_from_rasterExtract bands from multi-band raster
extract_dates_universalExtract dates from filenames using various patterns
generate_enhanced_analysis_summaryGenerate enhanced analysis summary
generate_html_summaryGenerate HTML summary report
generate_statistics_reportGenerate comprehensive statistics report
geocode_citiesGeocode city names
geocode_countiesGeocode US counties
geocode_entitiesGeocode geographic entities to coordinates
geocode_fipsGeocode FIPS codes
geocode_hucsGeocode HUC watershed codes
geocode_statesGeocode US states
geocode_zipcodesGeocode ZIP codes
geocoding_examplesGeocoding Examples and Use Cases
geospatialsuite-packagegeospatialsuite: Comprehensive Geospatiotemporal Analysis and...
get_available_indicesGet available indices
get_comprehensive_cdl_codesGet comprehensive CDL crop codes
get_index_formulasGet index formulas
get_index_rangesGet index typical ranges
get_index_referencesGet index references
get_interpretation_guidelinesGet interpretation guidelines
get_region_boundaryGet region boundary for any specified region
get_reliable_colorsGet reliable colors for terra plotting
get_satellite_band_infoGet satellite band information
get_summary_functionGet summary function for terra operations
get_terra_colorsGet terra colors for plotting
get_water_index_formulasGet water index formulas
get_water_index_requirementsGet water index requirements
handle_index_edge_casesHandle edge cases for index calculations
handle_outliers_in_dataHandle outliers in spatial data
handle_water_index_edge_casesHandle edge cases for water index calculations
integrate_multiple_datasetsIntegrate multiple datasets
integrate_terrain_analysisIntegrate terrain analysis with vector data
is_valid_dateValidate date string
list_vegetation_indicesGet comprehensive list of available vegetation indices
list_water_indicesGet comprehensive list of available water indices
load_and_process_spatial_dataLoad and process spatial data for interpolation
load_and_stack_bandsLoad and stack individual band files
load_and_validate_bandLoad and validate spectral band
load_bands_from_directoryLoad bands from directory
load_raster_dataLoad raster data from various sources
load_raster_safeLoad raster with error handling
load_single_water_datasetLoad single water quality dataset
load_vector_data_safeLoad vector data safely with coordinate detection
load_water_quality_data_flexibleLoad water quality data with flexible format handling
map_custom_band_namesMap custom band names
mask_invalid_valuesMask invalid values based on index type
mask_invalid_water_valuesMask invalid values for water indices
match_rasters_by_dateMatch rasters by date
multiscale_operationsMulti-scale spatial operations
normalize_column_nameNormalize column names for robust matching
perform_cross_validationPerform cross-validation for interpolation accuracy
perform_extract_joinPerform extract join (vector to raster)
perform_overlay_joinPerform other join methods (stubs for now)
perform_resample_joinPerform resample join (raster to raster)
perform_threshold_analysisPerform threshold analysis
plot_raster_fastCreate fast raster plot using terra
plot_rgb_rasterCreate multi-band raster RGB plot
preview_geocodingPreview geographic entity detection
process_spatial_data_safeProcess spatial data safely with error handling
process_vector_dataProcess vector data from data frame
quick_diagnosticQuick diagnostic check
quick_mapQuick map function - one-line mapping with auto-detection
raster_to_raster_opsRaster to Raster Operations
run_comprehensive_geospatial_workflowRun comprehensive geospatial workflow -
run_comprehensive_vegetation_workflowRun comprehensive vegetation analysis workflow -
run_enhanced_mosaic_workflowRun enhanced mosaic workflow
run_enhanced_ndvi_crop_workflowRun enhanced NDVI crop analysis workflow -
run_enhanced_temporal_workflowRun enhanced temporal workflow
run_enhanced_terrain_analysis_workflowRun enhanced terrain analysis workflow
run_enhanced_water_quality_workflowRun enhanced water quality analysis workflow
run_interactive_mapping_workflowRun interactive mapping workflow
run_multi_dataset_workflowRun multi-dataset workflow
save_interactive_mapSave interactive map to file
save_interpolation_resultsSave interpolation results to file
save_plot_to_fileSave plot to file with error handling
save_static_mapSave static map with ggplot2
save_temporal_resultsSave temporal analysis results
save_vegetation_analysis_resultsSave vegetation analysis results
save_water_quality_resultsSave water quality analysis results
select_crop_indicesSelect appropriate indices for crop analysis
select_optimal_methodSelect optimal interpolation method based on data...
select_rasters_for_regionSelect rasters for specific region with intelligent filtering
spatial_interpolationLegacy spatial interpolation function (for backward...
spatial_interpolation_comprehensivePerform spatial interpolation for missing data
test_function_availabilityTest individual function existence
test_geospatialsuite_package_simpleTest GeoSpatialSuite with simplified, robust tests
test_package_minimalTest package with minimal complexity
universal_spatial_joinUniversal Spatial Join - Complete Implementation
validate_methodValidate method parameter
validate_method_compatibilityValidate method compatibility
validate_numeric_rangeValidate numeric range
validate_outputValidate output quality
validate_raster_inputValidate raster input
validate_required_bandsValidate required bands for specific indices
validate_vector_inputValidate vector input
validate_vegetation_analysisValidate vegetation analysis
validate_water_index_outputValidate water index output
validation-helpersInput Validation Helpers
geospatialsuite documentation built on Nov. 6, 2025, 1:06 a.m.