Publications

Authors:

Katiyar, Puloma; Vu, Tin; Eldawy, Ahmed; Migliorini, Sara; Belussi, Alberto

Title:

SpiderWeb: A Spatial Data Generator on the Web

Year:

2020

Type of item:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Language:

Inglese

Format:

Elettronico

Congresso:

28th International Conference on Advances in Geographic Information Systems

Place:

Seattle, WA, USA

Period:

November 2020

ISBN:

9781450380195

Page numbers:

465-468

Keyword:

synthetic data; generator; spatial data

Short description of contents:

This demonstration presents a web-based generator for spatial data. This generator allows users to choose from a wide range of spatial data distributions and configure the cardinality of the data and the distribution parameters. It then provides three functionalities. First, it provides a visualization of how the data will look like. Second, it allows users to download this data in several standard formats including CSV and GeoJSON. Third, it provides a permalink that users can bookmark or share with their team members to reproduce the same dataset later. This service is a step towards standardized benchmarking for spatial data systems.

Product ID:

118131

Handle IRIS:

11562/1031395

Last Modified:

November 15, 2022

Bibliographic citation:

Katiyar, Puloma; Vu, Tin; Eldawy, Ahmed; Migliorini, Sara; Belussi, Alberto, SpiderWeb: A Spatial Data Generator on the Web  in Proceedings of the 28th International Conference on Advances in Geographic Information Systems , Proceedings of "28th International Conference on Advances in Geographic Information Systems" , Seattle, WA, USA , November 2020 , 2020 , pp. 465-468

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