| Author(s) | Collection number | Pages | Download abstract | Download full text |
|---|---|---|---|---|
| Zatserkovna R. S., Зацерковний Р. Г., Костирко В. С. | № 2 (67) | 69-76 |
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In today’s world, one of the most important types of information is geospatial data – information which describes geographical locations, objects and different phenomena on the surface of our planet. Information technologies based on geospatial data processing have become an integral part of modern life and are used for a number of important tasks by both individual users and large companies. These tasks include finding the fastest route to a destination, optimizing transportation and logistics, keeping track of travel times on a certain route and so forth.
Since developing a map of the entire world is a daunting task, most information technologies that use geospatial data are based on geospatial APIs (Application Programming Interfaces) maintained by either large companies or volunteer organizations. For the field of logistics, these APIs provide a number of features which are necessary for efficient route planning, real-time vehicle tracking, and statistical data collections. As there is a need to reduce fuel consumption and improve customer service grows, so is the demand for geospatial APIs. Both e-commerce platforms and industrial businesses rely on the accuracy and efficiency of features provided by them. Thus, choosing the right API is an important task a developer must address before starting to implement their software solution.
In this paper, the authors first explore the main concepts of geospatial data and information technologies based on geospatial data. They then provide an overview and a detailed description of the features implemented by major geospatial API providers – this includes geocoding, data visualization, routing and data layers. Finally, they provide motivation for the usage of these APIs in the field of logistics, and analyze the capabilities of several commonly used Web APIs: Google Maps, Mapbox and OpenStreetMap (OSM).
Keywords: geospatial data, logistics, information technologies, API, Google Maps, Mapbox, OSM.
doi: 10.32403/1998-6912-2023-2-67-69-76
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