spatial

Run this when you use a project for the first time

$ spatial worker build

$ spatial worker build --target=development --target=Osx

$ spatial worker build --target=local --target=Windows

$ spatial local launch [launch_config] --snapshot=[snapshot_file]

$ spatial local worker launch [worker_type] [launch_config]

$ spatial cloud upload [assembly_name]

$ spatial cloud launch [assembly_name] [launch_config] [deployment_name]

$ spatial worker clean

Note: This is a hypothetical synopsis as 'spatial' is not a standard command.

spatial [options] <subcommand> [subcommand_options] [arguments]

subcommand
    A specific action to perform. Hypothetical examples include info (display metadata), convert (change format/CRS), transform (apply geometric operations), or query (perform spatial selections).

--help, -h
    Displays the general help message or help for a specific subcommand.

--version, -v
    Shows the hypothetical version information of the utility.

--input <file>, -i <file>
    Specifies the path to the input spatial data file (e.g., shapefile, GeoJSON).

--output <file>, -o <file>
    Specifies the path for the output spatial data file.

--format <fmt>, -f <fmt>
    Defines the desired input or output data format (e.g., 'GeoJSON', 'ESRI Shapefile').

--srid <code>
    Specifies the Spatial Reference ID (SRID) for coordinate system definitions (e.g., '4326' for WGS84).

--crs <proj_string>
    Specifies the Coordinate Reference System (CRS) using a PROJ string or well-known identifier.

--bbox <xMin,yMin,xMax,yMax>
    Filters input data by a bounding box, useful for spatial subsetting.

--sql <query>
    Allows executing a SQL-like spatial query against the input data.

The command spatial is not a standard, widely recognized Linux utility found in typical distributions. This analysis is therefore based on a hypothetical concept of what such a command *would* entail if it existed as a general-purpose tool for spatial data processing from the command line.

If it were a real utility, spatial would likely serve as a versatile interface for manipulating, transforming, analyzing, and querying geospatial data. Its primary function would be to simplify common spatial operations that often require complex workflows with specialized Geographic Information Systems (GIS) software or programming libraries. It would aim to provide a streamlined way to interact with various spatial data formats (e.g., Shapefile, GeoJSON, KML, GML) and handle different Coordinate Reference Systems (CRS) and spatial projections. Possible operations would include geometric transformations (e.g., buffering, intersection, union), spatial queries (e.g., point-in-polygon, nearest neighbor), data conversions, and metadata inspection, making geospatial tasks accessible in shell scripts or automated workflows.

The primary caveat is that spatial is not a standard Linux command; it does not typically come pre-installed or is part of common Linux distributions. Any reference to its functionality is purely hypothetical. Users seeking spatial data processing on Linux should explore established tools like GDAL/OGR, PostGIS, GRASS GIS, or dedicated Python libraries (e.g., GeoPandas, Shapely) that provide robust and widely supported functionalities.

While spatial is hypothetical, Linux is a powerful platform for geospatial data processing. Key tools and libraries include:

GDAL/OGR: A fundamental library for reading and writing raster and vector geospatial data formats.
PostGIS: A spatial extension for PostgreSQL, enabling powerful spatial database capabilities.
GRASS GIS: A comprehensive open-source GIS software suite for managing, processing, and analyzing geospatial data.
QGIS: A popular open-source desktop GIS application that also integrates with many command-line tools.
SpatiaLite: Spatial extensions for SQLite, providing lightweight spatial database functionality.
Python Libraries: Packages like GeoPandas, Shapely, Fiona, Rasterio, and PyProj offer extensive spatial data manipulation capabilities via scripting.

A hypothetical spatial command would likely support operations such as:

Projections/Transformations: Converting data between different Coordinate Reference Systems.
Geometric Operations: Buffering (creating areas around features), intersections, unions, differences, and simplified geometries.
Spatial Queries: Selecting features based on their spatial relationship to other features (e.g., 'contains', 'intersects', 'within').
Attribute Management: Adding, removing, or modifying non-spatial data associated with spatial features.

As this command does not exist as a standard Linux utility, its history is purely speculative. A conceptual 'spatial' command would likely emerge from the desire to simplify complex geospatial operations, acting as a high-level wrapper for powerful underlying C/C++ libraries (like GEOS or PROJ.4) or established GIS toolkits (like GDAL/OGR). Its development would be driven by the need for more accessible command-line geospatial workflows, perhaps inspired by other domain-specific CLI tools.

ogr2ogr(1), gdalsrsinfo(1), gdalinfo(1), gdalwarp(1), psql(1), spatialite(1)