Puloma Katiyar, Tin Vu, A. Eldawy, S. Migliorini, A. Belussi
{"title":"SpiderWeb: A Spatial Data Generator on the Web","authors":"Puloma Katiyar, Tin Vu, A. Eldawy, S. Migliorini, A. Belussi","doi":"10.1145/3397536.3422351","DOIUrl":null,"url":null,"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.","PeriodicalId":233918,"journal":{"name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3397536.3422351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
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.