| read_file_gpd | Reads a geospatial file and returns stats and a data preview. |
| append_gpd | Reads two shapefiles directly, concatenates them vertically. |
| merge_gpd | Merges two shapefiles based on common attribute columns,
This function performs a database-style join, not a spatial join.
Args:
left_shapefile_path: Path to the left shapefile. The geometry from this file is preserved.
right_shapefile_path: Path to the right shapefile to merge.
output_path: Path to save the merged output shapefile.
how: Type of merge. One of 'left', 'right', 'outer', 'inner'. Defaults to 'inner'.
on: Column name to join on. Must be found in both shapefiles.
left_on: Column name to join on in the left shapefile.
right_on: Column name to join on in the right shapefile.
suffixes: Suffix to apply to overlapping column names. |
| overlay_gpd | Overlay two GeoDataFrames using geopandas.overlay.
Args:
gdf1_path: Path to the first geospatial file.
gdf2_path: Path to the second geospatial file.
how: Overlay method ('intersection', 'union', 'identity', 'symmetric_difference', 'difference').
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| dissolve_gpd | Dissolve geometries by attribute using geopandas.dissolve.
Args:
gdf_path: Path to the geospatial file.
by: Column to dissolve by (optional).
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| explode_gpd | Split multi-part geometries into single parts using geopandas.explode.
Args:
gdf_path: Path to the geospatial file.
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| clip_vector | Clip vector geometries using geopandas.clip.
Args:
gdf_path: Path to the input geospatial file.
clip_path: Path to the clipping geometry file.
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| sjoin_gpd | Spatial join between two GeoDataFrames using geopandas.sjoin.
Args:
left_path: Path to the left geospatial file.
right_path: Path to the right geospatial file.
how: Type of join ('left', 'right', 'inner').
predicate: Spatial predicate ('intersects', 'within', 'contains', etc.).
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| sjoin_nearest_gpd | Nearest neighbor spatial join using geopandas.sjoin_nearest.
Args:
left_path: Path to the left geospatial file.
right_path: Path to the right geospatial file.
how: Type of join ('left', 'right').
max_distance: Optional maximum search distance.
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| point_in_polygon | Check if points are inside polygons using spatial join (predicate='within').
Args:
points_path: Path to the point geospatial file.
polygons_path: Path to the polygon geospatial file.
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output info. |
| write_file_gpd | Export a GeoDataFrame to a file (Shapefile, GeoJSON, GPKG, etc.).
Args:
gdf_path: Path to the input geospatial file.
output_path: Path to save the exported file.
driver: Optional OGR driver name (e.g., 'ESRI Shapefile', 'GeoJSON', 'GPKG').
Returns:
Dictionary with status and message. |
| buffer | Create a buffer around a geometry. |
| intersection | Find intersection of two geometries. |
| union | |
| difference | Find difference between geometries. |
| symmetric_difference | Find symmetric difference between geometries. |
| convex_hull | Calculate convex hull of a geometry. |
| envelope | Get bounding box of a geometry. |
| minimum_rotated_rectangle | Get minimum rotated rectangle of a geometry. |
| get_centroid | Get the centroid of a geometry. |
| get_bounds | Get the bounds of a geometry. |
| get_coordinates | Get the coordinates of a geometry. |
| get_geometry_type | Get the type of a geometry. |
| rotate_geometry | |
| scale_geometry | |
| translate_geometry | |
| triangulate_geometry | Create a triangulation of a geometry. |
| voronoi | Create a Voronoi diagram from points. |
| unary_union_geometries | Create a union of multiple geometries. |
| get_length | Get the length of a geometry. |
| get_area | Get the area of a geometry. |
| is_valid | Check if a geometry is valid. |
| make_valid | |
| simplify | |
| snap_geometry | Snap one geometry to another using shapely.ops.snap.
Args:
geometry1: WKT string of the geometry to be snapped.
geometry2: WKT string of the reference geometry.
tolerance: Distance tolerance for snapping.
Returns:
Dictionary with status, message, and snapped geometry as WKT. |
| nearest_point_on_geometry | Find the nearest point on geometry2 to geometry1 using shapely.ops.nearest_points.
Args:
geometry1: WKT string of the first geometry (e.g., a point).
geometry2: WKT string of the second geometry.
Returns:
Dictionary with status, message, and the nearest point as WKT. |
| normalize_geometry | Normalize the orientation/order of a geometry using shapely.normalize.
Args:
geometry: WKT string of the geometry.
Returns:
Dictionary with status, message, and normalized geometry as WKT. |
| geometry_to_geojson | Convert a Shapely geometry (WKT) to GeoJSON using shapely.geometry.mapping.
Args:
geometry: WKT string of the geometry.
Returns:
Dictionary with status, message, and GeoJSON representation. |
| geojson_to_geometry | Convert GeoJSON to a Shapely geometry using shapely.shape.
Args:
geojson: GeoJSON dictionary.
Returns:
Dictionary with status, message, and geometry as WKT. |
| zonal_statistics | Calculate statistics of raster values within polygons (zonal statistics).
Args:
raster_path: Path to the raster file.
vector_path: Path to the vector file (polygons).
stats: List of statistics to compute (e.g., ["mean", "min", "max", "std"]).
Returns:
Dictionary with status, message, and statistics per polygon. |
| reclassify_raster | Reclassify raster values using a mapping dictionary.
Args:
raster_path: Path to the input raster.
reclass_map: Dictionary mapping old values to new values (e.g., {1: 10, 2: 20}).
output_path: Path to save the reclassified raster.
Returns:
Dictionary with status and message. |
| focal_statistics | Compute focal (moving window) statistics on a raster.
Args:
raster_path: Path to the input raster.
statistic: Statistic to compute ('mean', 'min', 'max', 'std').
size: Window size (odd integer).
output_path: Optional path to save the result.
Returns:
Dictionary with status, message, and output path if saved. |
| hillshade | Generate hillshade from a DEM raster.
Args:
raster_path: Path to the DEM raster.
azimuth: Sun azimuth angle in degrees.
angle_altitude: Sun altitude angle in degrees.
output_path: Optional path to save the hillshade raster.
Returns:
Dictionary with status, message, and output path if saved. |
| write_raster | Write a numpy array to a raster file using metadata from a reference raster.
Args:
array: 2D or 3D list (or numpy array) of raster values.
reference_raster: Path to a raster whose metadata will be copied.
output_path: Path to save the new raster.
dtype: Optional data type (e.g., 'float32', 'uint8').
Returns:
Dictionary with status and message. |
| metadata_raster | Open a raster dataset in read-only mode and return metadata.
This tool supports two modes based on the provided string:
1. A local filesystem path (e.g., "D:\Data\my_raster.tif").
2. An HTTPS URL (e.g., "https://example.com/my_raster.tif").
The input must be a single string that is either a valid file path
on the local machine or a valid HTTPS URL pointing to a raster. |
| get_raster_crs | Retrieve the Coordinate Reference System (CRS) of a raster dataset.
Opens the raster (local path or HTTPS URL), reads its DatasetReader.crs
attribute as a PROJ.4-style dict, and also returns the WKT representation. |
| clip_raster_with_shapefile | Clip a raster dataset using polygons from a shapefile and write the result.
Converts the shapefile's CRS to match the raster's CRS if they are different.
Parameters:
- raster_path_or_url: local path or HTTPS URL of the source raster.
- shapefile_path: local filesystem path to a .shp file containing polygons.
- destination: local path where the masked raster will be written. |
| resample_raster | Resample a raster dataset by a scale factor and save the result.
Parameters:
- source: local path or HTTPS URL of the source raster.
- scale_factor: multiplicative factor for width/height
(e.g., 0.5 to halve resolution, 2.0 to double).
- resampling: resampling method name: "nearest", "bilinear", "cubic", etc.
- destination: local filesystem path for the resampled raster. |
| reproject_raster | Reproject a raster dataset to a new CRS and save the result.
Parameters:
- source: local path or HTTPS URL of the source raster.
- target_crs: target CRS string (e.g., "EPSG:4326").
- destination: local filesystem path for the reprojected raster.
- resampling: resampling method: "nearest", "bilinear", "cubic", etc. |
| extract_band | Extract a specific band from a multi-band raster and save it as a single-band GeoTIFF.
Parameters:
- source: path or URL of the input raster.
- band_index: index of the band to extract (1-based).
- destination: path to save the extracted band raster. |
| raster_band_statistics | Calculate min, max, mean, and std for each band of a raster.
Parameters:
- source: path to input raster (local or URL). |
| tile_raster | Split a raster into square tiles of a given size and save them individually.
Parameters:
- source: input raster path.
- tile_size: size of each tile (e.g., 256 or 512).
- destination_dir: directory to store the tiles. |
| raster_histogram | Compute histogram of pixel values for each band.
Parameters:
- source: path to input raster.
- bins: number of histogram bins. |
| compute_ndvi | Compute NDVI (Normalized Difference Vegetation Index) and save to GeoTIFF.
Parameters:
- source: input raster path.
- red_band_index: index of red band (1-based).
- nir_band_index: index of near-infrared band (1-based).
- destination: output NDVI raster path. |
| raster_algebra | Perform algebraic operations (addition or subtraction) on two raster bands,
handling alignment issues automatically.
Parameters:
- raster1: Path to the first raster (.tif).
- raster2: Path to the second raster (.tif).
- band_index: Index of the band to process (1-based index).
- operation: Either "add" or "subtract" to specify the calculation.
- destination: Path to save the result as a new raster.
The function aligns rasters if needed, applies the selected operation, and saves the result. |
| concat_bands | Concatenate multiple single-band raster files into one multi-band raster,
handling alignment issues automatically.
Parameters:
- folder_path: Path to folder containing input raster files (e.g. GeoTIFFs).
- destination: Path to output multi-band raster file.
Notes:
- Files are read in sorted order by filename.
- If rasters have mismatched CRS, resolution, or dimensions, they are aligned automatically. |
| weighted_band_sum | Compute a weighted sum of all bands in a raster using specified weights.
Parameters:
- source: Path to the input multi-band raster file.
- weights: List of weights (must match number of bands and sum to 1).
- destination: Path to save the output single-band raster. |
| transform_coordinates | Transform coordinates between CRS. |
| project_geometry | Project a geometry between CRS. |
| get_crs_info | Get information about a CRS. |
| get_available_crs | Get list of available CRS. |
| get_geod_info | Get information about a geodetic calculation. |
| calculate_geodetic_distance | Calculate geodetic distance between points. |
| calculate_geodetic_point | Calculate point at given distance and azimuth. |
| calculate_geodetic_area | Calculate area of a polygon using geodetic calculations. |
| get_utm_zone | Get UTM zone for given coordinates. |
| get_utm_crs | Get UTM CRS for given coordinates. |
| get_geocentric_crs | Get geocentric CRS for given coordinates. |
| getis_ord_g | Compute Getis-Ord G for global hot spot analysis. |
| morans_i | Compute Moran's I Global Autocorrelation Statistic. |
| gearys_c | Compute Global Geary's C Autocorrelation Statistic. |
| gamma_statistic | Compute Gamma Statistic for spatial autocorrelation. |
| moran_local | |
| getis_ord_g_local | |
| join_counts | Global Binary Join Counts. |
| join_counts_local | |
| adbscan | Adaptive DBSCAN clustering (requires coordinates, no dependent_var). |
| weights_from_shapefile | Create a spatial weights (W) from a shapefile using contiguity. - contiguity: 'queen' or 'rook' (default 'queen')
- id_field: optional attribute name to use as observation IDs |
| distance_band_weights | Create a distance-based spatial weights (W) object from point data.
- data_path: path to point shapefile or GeoPackage
- threshold: distance threshold for neighbors (in CRS units, e.g., meters)
- binary: True for binary weights, False for inverse distance weights
- id_field: optional attribute name to use as observation IDs |
| knn_weights | Create a k-nearest neighbors spatial weights (W) object from point data.
- data_path: path to point shapefile or GeoPackage
- k: number of nearest neighbors
- id_field: optional attribute name to use as observation IDs |
| build_transform_and_save_weights | Pipeline: Read shapefile, build spatial weights, optionally transform, and save to file.
Parameters:
- data_path: Path to point shapefile or GeoPackage
- method: 'queen', 'rook', 'distance_band', 'knn'
- id_field: Optional field name for IDs
- threshold: Distance threshold (required if method='distance_band')
- k: Number of neighbors (required if method='knn')
- binary: True for binary weights, False for inverse distance (DistanceBand only)
- transform_type: 'r', 'v', 'b', 'o', or 'd' (optional)
- output_path: File path to save weights
- format: 'gal' or 'gwt'
- overwrite: Allow overwriting if file exists |
| ols_with_spatial_diagnostics_safe | Safe MCP pipeline: Read shapefile, build/load W, convert numeric, check NaNs, run OLS.
Parameters:
- data_path: path to shapefile or GeoPackage
- y_field: dependent variable column name
- x_fields: list of independent variable column names
- weights_path: optional path to existing weights file (.gal or .gwt)
- weights_method: 'queen', 'rook', 'distance_band', or 'knn' (used if weights_path not provided)
- id_field: optional attribute name to use as observation IDs
- threshold: required if method='distance_band'
- k: required if method='knn'
- binary: True for binary weights (DistanceBand only) |
| build_and_transform_weights | Build and transform spatial weights in one step.
Parameters:
- data_path: Path to point shapefile or GeoPackage
- method: 'queen', 'rook', 'distance_band', or 'knn'
- id_field: Optional field name for IDs
- threshold: Distance threshold (required if method='distance_band')
- k: Number of neighbors (required if method='knn')
- binary: True for binary weights, False for inverse distance (DistanceBand only)
- transform_type: 'r', 'v', 'b', 'o', or 'd' |