Geospatial Technologies is a term to describe highly-advanced tools to find specific locations on earth. These tools are used in a variety of ways. One of these ways is developing maps of places or things.
Here are some of the most highly used geospatial technologies.
PostGIS is a geospatial database extension of PostgreSQL. This technology can be used to find geometry, longitude, latitude, distance, and other measures. PostGIS has some features such as geometric types that are specific to geospatial databases. These measures can be used to find the location of an object, finding the near objects to a point, and other use cases.
Mapbox is software used to create smart vector maps complete with instant rendering to your web or mobile app. Also, Mapbox has an API that allows developers to reverse geo code coordinates, get routing directions, and get distance calculations. Also, when creating a map, there are styles, tiles, and other features that make Mapbox an ideal Map API to use.
GeoJSON is a JSON-based format for encoding geospatial data structures (especially geometric objects that have additional properties.) This format supports Point, LineString, Polygon, Multipoint, MultiLineString, and MultiPolygon types.
Ade Labs applied the use of PostGIS, Mapbox, andGeoJSON for a National Geographic project here. Also, Leaflet has been used for small projects here. Other alternatives for building mapping applications are Google Maps and MongoDB.
Google Maps has APIs that allow for custom maps, routing, searching, and much more. Specifically, when searching for places you can search for places within a given radius and use other parameters as well. Also, Google Maps can be used on mobile applications.
MongoDB is a NoSQL database used for geospatial indexes and queries. Essentially, it can act as a geospatial database. It is able to handle queries such as spherical and flat surfaces, location data for spherical surface calculations in GeoJSON objects and legacy coordinate pairs, query applications for inclusion, intersection and proximity, geospatial indexing for 2dsphere and 2d and geospatial indexing and sharding.
The geospatial technologies serve as the basis for geospatial-based applications and services. Use cases for these applications now are in logistics, wearables, and much more. In the future, you will notice more geospatial technologies in oil and gas, cars, and internet of things and what effect they play.
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