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USGS DEM is an open DEM data format standard defined by the United States Geological Survey (USGS). It uses ASCII code for storage and consists of three logical records: A (file header), B (section data), and C (precision information). Each logical record unit is fixed at 1024 bytes. This format supports both UTM projection and geographic coordinate (seconds) grid types, and the data range covers a variety of geographic grid products, including 7.5 minutes, 30 minutes, and 1 degree. Its files can be directly read and converted to common raster formats using tools such as ArcGIS. The GDAL library natively supports parsing and can automatically identify coordinate systems and elevation units (meters/feet).

DEM (Digital Elevation Model) is a universal terrain data format and concept that represents ground surface elevation in a grid-based (raster) numerical form. Each grid cell stores a corresponding elevation value, enabling quantitative analysis of terrain undulation and shape. As a vendor-neutral general-purpose format, DEM is widely used and regarded as a fundamental and essential spatial dataset across various fields, including terrain analysis, cartography, simulation, disaster prevention, and environmental analysis.

FlatGeobuf is a high-performance binary-encoded vector geographic data format designed for processing large-scale static geographic data. It utilizes FlatBuffers technology for compact storage and fast read/write speeds. It features a built-in Packed Hilbert R-Tree spatial index and supports streaming and on-demand loading, significantly improving network transmission efficiency and rendering speed. It is particularly well-suited for scenarios requiring efficient processing of massive amounts of geospatial data. As an open-source format, FlatGeobuf is compatible with mainstream tools such as GDAL, QGIS, and GeoServer, and supports multi-language implementations, making it an ideal alternative to traditional Shapefiles and GeoJSON.

ADF (ArcInfo Binary Grid Format) is a proprietary raster data format developed by Esri. It is used for storing and managing raster data, which can contain various types of geospatial information such as elevation data, land cover types, vegetation indices, etc. The ADF format can store raster layers with different resolutions and data types, making it significant in GIS applications.

OSRM API (Open Source Routing Machine) is a high-performance open-source routing engine based on OpenStreetMap data, providing route calculation services through RESTful HTTP interfaces. It supports multiple travel modes such as driving, cycling, and walking, and can quickly return the shortest path results. It is widely used in navigation application development, logistics delivery planning, travel time analysis, and other scenarios. Core features include route calculation, multi-point travel time matrix generation, GPS trajectory matching, etc., utilizing the Contraction Hierarchies algorithm to achieve millisecond-level response times.

STL (StereoLithography) is a file format developed by 3D Systems for 3D printing and computer-aided design. It is widely used in the fields of rapid prototyping and computer-aided manufacturing (CAM).

RLA (Run-Length Encoded Raster) is a format that efficiently stores raster data using Run-Length Encoding (RLE). By recording consecutive pixel sequences with the same value as "value + repetition count," it achieves high compression efficiency, particularly for classified raster data or data with many homogeneous areas. RLA has a relatively simple data structure and has been used as a lightweight raster data storage method in image processing and GIS fields. It is suitable for raster data with high value continuity, such as elevation models, land use classifications, and binary mask data.

DTM (Digital Terrain Model) is a type of geospatial data model that numerically represents the topography of the earth's surface. It records terrain relief, slopes, and topographic features in digital format, primarily focusing on ground elevation information, and is used for terrain analysis and geographic information processing. DTMs are typically expressed in formats such as grid-based raster data or TIN (Triangulated Irregular Network), and are characterized by representing "bare earth terrain" excluding features such as buildings and trees. They are often generated from survey data, airborne laser surveying (LiDAR), satellite remote sensing, and play an important role as foundational data in GIS and geographic analysis fields.

CARTO Tiles API is an interface provided by the CARTO platform for efficiently processing and visualizing geospatial data. By splitting large datasets into pre-rendered tiles, it optimizes map loading speed and browsing experience, supporting various tile types such as dynamic and aggregated tiles. Built on the OGC API-Tiles standard, it integrates with CARTO’s declarative language, deck.gl, enabling flexible map styling and interactive application development.

MapQuest API is an application programming interface that provides location-based services such as geocoding, route planning, and POI search. Developers can invoke its services by sending HTTP requests, for example, to convert addresses into coordinates or calculate driving routes. It supports multiple map data sources (e.g., OpenStreetMap, Bing Maps) and allows free access to basic services through an API key. This API is commonly used in scenarios like logistics optimization and location sharing. For instance, one organization utilized it to reduce meal delivery route planning time and costs.