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GeoJSON [1] is an open standard format designed for representing simple geographical features, along with their non-spatial attributes.It is based on the JSON format.. The features include points (therefore addresses and locations), line strings (therefore streets, highways and boundaries), polygons (countries, provinces, tracts of land), and multi-part collections of these types.
GeoJSON – open, lightweight format based on JSON, used by many open source GIS packages GeoMedia – Microsoft Access based format for spatial vector storage (by Intergraph ) ISFC – MicroStation based CAD solution attaching vector elements to a relational Microsoft Access database (by Intergraph )
Vector data is more compatible with relational database environments, where they can be part of a relational table as a normal column and processed using a multitude of operators. Vector file sizes are usually smaller than raster data, which can be tens, hundreds or more times larger than vector data (depending on resolution).
The tz database is a collaborative compilation of information about the world's time zones and rules for observing daylight saving time, primarily intended for use with computer programs and operating systems. [2]
Administrative areas in this database are countries and lower level subdivisions such as provinces, departments, bibhag, bundeslander, daerah istimewa, fivondronana, krong, landsvæðun, opština, sous-préfectures, counties, and thana. Crop Calendar Dataset: Raster data on planting dates and harvesting dates across the world for 19 crops.
Database of grayscale handwritten digits. 60,000 image, label classification 1994 [1] LeCun et al. Extended MNIST: Database of grayscale handwritten digits and letters. 810,000 image, label classification 2010 [2] NIST 80 Million Tiny Images: 80 million 32×32 images labelled with 75,062 non-abstract nouns. 80,000,000 image, label 2008 [3 ...
Run the query, then click 'Export' in the toolbar and select the 'copy' part of 'download/copy as GeoJSON' In Wikimedia Commons, create a page in the Data: namespace with the .map extension, like Data:COTA10.map; When you create the page, replace the 'Data' placeholder (including the two brackets) with the GeoJSON you copied.
It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]