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.

SpiderWeb: A Spatial Data Generator on the Web

Migliorini, Sara;Belussi, Alberto
2020-01-01

Abstract

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.
2020
Inglese
ELETTRONICO
Esperti anonimi
28th International Conference on Advances in Geographic Information Systems
Seattle, WA, USA
November 2020
Internazionale
Proceedings of the 28th International Conference on Advances in Geographic Information Systems
9781450380195
465
468
4
synthetic data
generator
spatial data
none
Katiyar, Puloma; Vu, Tin; Eldawy, Ahmed; Migliorini, Sara; Belussi, Alberto
5
04 Contributo in atti di convegno::04.01 Contributo in atti di convegno
273
info:eu-repo/semantics/conferenceObject
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1031395
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 19
  • ???jsp.display-item.citation.isi??? ND
social impact