- How do I install kmlaravel/laravel-geographical-calculator in a Laravel app?
- Install it with Composer using composer require kmlaravel/laravel-geographical-calculator. It is a Laravel package, so expect the usual service provider or facade registration, often handled by package discovery, and optionally a publishable config file. No database migration is implied; confirm the exact installation and configuration steps in the package README for your version.
- What can I use a Laravel geographical calculator package for?
- It fits request-time geo calculations such as distance between coordinates, radius and nearby lookups, service-area eligibility checks, geofence validation, and nearest or farthest point selection over small candidate sets. It is a pure-PHP in-memory geometry helper, so it is best for bounded, low-cardinality problems. Do not use it to replace PostGIS or database spatial indexes for filtering large tables.
- Does this package support Haversine distance and multiple units?
- The package overview describes Haversine and related formulas for coordinate distance and radius queries, with distances available in multiple units. Haversine is appropriate for geodesic distances on a sphere using latitude and longitude degrees. Verify the exact unit conversion API and whether other formulas are selectable in your installed version.
- Can I find nearby Eloquent models by distance with this Laravel package?
- The package is positioned to add location-aware features to Eloquent models with a fluent API and nearby-record queries. However, it cannot push geometric predicates into SQL, so nearby filtering over large tables should remain in the database. Use it for small candidate sets or after a database bounding-box prefilter, and validate the generated query behavior.
- What Laravel and PHP versions does it support, and is it actively maintained?
- The supplied context does not include the version-support matrix, maintainer, license, or release cadence, so confirm these from composer.json and repository metadata. The v2.2.0 release appears to be additive minor feature work, which is a positive semver signal, but this is a first-pass evaluation from release notes. Test installation in a staging app matching your production PHP and Laravel versions before committing.
- Is this package a replacement for PostGIS or MySQL spatial functions?
- No. It is an in-memory PHP geometry helper for points, point sets, areas, farthest-point selection, and containment checks, not a spatial database layer. Workflows that filter large tables by geometry must stay in PostGIS, MySQL ST_Contains, or a dedicated geo index. Use the package for bounded application logic behind your own interface.
- How accurate are the distance calculations and what coordinate reference system is assumed?
- Coordinate reference system and units are not specified in the supplied release notes, so you must verify whether inputs are latitude and longitude degrees and whether distance is Euclidean or geodesic. If raw latitude and longitude are treated as planar coordinates, results can look plausible but be materially wrong away from the equator. Test known coordinate pairs against a trusted Haversine or geodesic implementation before production use.
- How does area containment handle boundaries, holes, and antimeridian polygons?
- Boundary-inclusive versus boundary-exclusive semantics, polygons with holes, self-intersecting rings, and antimeridian crossing are unspecified in the available context. These are likely sources of silent off-by-epsilon defects. Add explicit tests for points on vertices, edges, holes, and date-line-spanning areas, or keep those cases in a mature geometry library.
- How should I test this geographical calculator before using it in production?
- Test known coordinate pairs against trusted Haversine or geodesic results, plus boundary points, holes, antimeridian polygons, empty sets, duplicates, single-point sets, and zero-area polygons. Floating-point results may differ across PHP builds and platforms, so avoid brittle exact snapshot assertions. Wrap package calls behind your own GeoService interface and add CI tests for your actual use cases.
- What are alternatives to kmlaravel/laravel-geographical-calculator for Laravel geo queries?
- For database-scale spatial work, use PostGIS, MySQL spatial functions, or a dedicated geo index. For PHP geometry, evaluate brick/geo, geocoder-php components where relevant, or a small custom Haversine implementation behind a first-party interface. The package can still be a low-effort fit for small in-memory calculations if its CRS, units, edge cases, and maintenance status are confirmed.