This dataset contains a set of synthetic data that can be used to evaluate the efficiency of geosaptial datasbases. The datasets is composed of four json file, characterized by different size. They can be used to analyze the scalability of geospatial datasets with respect to the database size. Each json file contains a set of "points", each one characterized by a set of random attributes (description, url of a picture linked to the point, creation date, delete date, update date, identifier, partition identifier). The synthetically generated points are uniformly distributed among the world
The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the...
The growth of the Web and the increase in using GPS-enabled devices, coupled with the exponential gr...
Geo-data sets represented as JSON documents are provided by many sources over the Internet. Conseque...
<p>This dataset contains a set of synthetic data that can be used to evaluate the efficiency of geos...
This gem describes a standard method for generating synthetic spatial data that can be used in bench...
The size and dimensionality of available geospatial repositories increases every day, placing additi...
Database benchmarking is most valuable if real-life data and workloads are available. However, rea...
The dataset comprises the following fields: 1. RegistrationID: This represents the registration id t...
Script to generate synthetic point data based on the spatial distribution characteristics of a pheno...
Social media information packets like Twitter Tweets and Instagram photos are able to be geo-mapped ...
Big Data encompasses collection, management, processing and analysis of the huge amount of data that...
The database generation process currently used to create synthetic natural environments (SNE) must u...
This is a collection of 8 large-scale, real-world datasets for Geospatial Interlinking
An overview of datasets with their geo-features and quantitative measurements is provided.</p
The need for addressing geoprivacy in location based services has increased the offer of mechanisms ...
The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the...
The growth of the Web and the increase in using GPS-enabled devices, coupled with the exponential gr...
Geo-data sets represented as JSON documents are provided by many sources over the Internet. Conseque...
<p>This dataset contains a set of synthetic data that can be used to evaluate the efficiency of geos...
This gem describes a standard method for generating synthetic spatial data that can be used in bench...
The size and dimensionality of available geospatial repositories increases every day, placing additi...
Database benchmarking is most valuable if real-life data and workloads are available. However, rea...
The dataset comprises the following fields: 1. RegistrationID: This represents the registration id t...
Script to generate synthetic point data based on the spatial distribution characteristics of a pheno...
Social media information packets like Twitter Tweets and Instagram photos are able to be geo-mapped ...
Big Data encompasses collection, management, processing and analysis of the huge amount of data that...
The database generation process currently used to create synthetic natural environments (SNE) must u...
This is a collection of 8 large-scale, real-world datasets for Geospatial Interlinking
An overview of datasets with their geo-features and quantitative measurements is provided.</p
The need for addressing geoprivacy in location based services has increased the offer of mechanisms ...
The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the...
The growth of the Web and the increase in using GPS-enabled devices, coupled with the exponential gr...
Geo-data sets represented as JSON documents are provided by many sources over the Internet. Conseque...