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focal_statistics

Calculate moving window statistics like mean, min, max, or standard deviation on raster data for spatial pattern analysis in GIS workflows.

Instructions

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raster_pathYes
statisticYes
sizeNo
output_pathNo

Implementation Reference

  • The primary handler function for the 'focal_statistics' MCP tool. It computes focal statistics (mean, min, max, std) on raster data using a moving window via scipy.ndimage.generic_filter. The function is registered via the @gis_mcp.tool() decorator, which handles schema generation from type hints and docstring.
    @gis_mcp.tool()
    def focal_statistics(raster_path: str, statistic: str, size: int = 3, output_path: str = None) -> Dict[str, Any]:
        """
        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.
        """
        try:
            import rasterio
            import numpy as np
            from scipy.ndimage import generic_filter
            with rasterio.open(raster_path) as src:
                data = src.read(1)
                profile = src.profile.copy()
                func = None
                if statistic == "mean":
                    func = np.mean
                elif statistic == "min":
                    func = np.min
                elif statistic == "max":
                    func = np.max
                elif statistic == "std":
                    func = np.std
                else:
                    raise ValueError(f"Unsupported statistic: {statistic}")
                filtered = generic_filter(data, func, size=size, mode='nearest')
            if output_path:
                output_path_resolved = resolve_path(output_path, relative_to_storage=True)
                output_path_resolved.parent.mkdir(parents=True, exist_ok=True)
                with rasterio.open(str(output_path_resolved), "w", **profile) as dst:
                    dst.write(filtered, 1)
                output_path = str(output_path_resolved)
            return {
                "status": "success",
                "message": f"Focal {statistic} computed successfully.",
                "output_path": output_path
            }
        except Exception as e:
            logger.error(f"Error in focal_statistics: {str(e)}")
            return {"status": "error", "message": str(e)}
  • Imports the rasterio_functions module (among others), which triggers the execution of decorators like @gis_mcp.tool() on functions such as focal_statistics, thereby registering the tool with the FastMCP server instance.
    from . import (
        geopandas_functions,
        shapely_functions,
        rasterio_functions,
        pyproj_functions,
        pysal_functions,
    )
  • A resource endpoint that lists available rasterio operations, including 'focal_statistics', for tool discovery.
    @gis_mcp.resource("gis://operation/rasterio")
    def get_rasterio_operations() -> Dict[str, List[str]]:
        """List available rasterio operations."""
        return {
            "operations": [
                "metadata_raster",
                "get_raster_crs",
                "clip_raster_with_shapefile",
                "resample_raster",
                "reproject_raster",
                "weighted_band_sum",
                "concat_bands",
                "raster_algebra",
                "compute_ndvi",
                "raster_histogram",
                "tile_raster",
                "raster_band_statistics",
                "extract_band",
                "zonal_statistics",
                "reclassify_raster",
                "focal_statistics",
                "hillshade",
                "write_raster"
            ]
        }
  • The function signature and docstring define the input schema (parameters with types and descriptions) and output schema for the tool, used by FastMCP for validation.
    def focal_statistics(raster_path: str, statistic: str, size: int = 3, output_path: str = None) -> Dict[str, Any]:
        """
        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.
        """

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