Mark McKenney, Niharika Nyalakonda, Jarrod McEvers, Mitchell Shipton
{"title":"Pyspatiotemporalgeom: a python library for spatiotemporal types and operations","authors":"Mark McKenney, Niharika Nyalakonda, Jarrod McEvers, Mitchell Shipton","doi":"10.1145/2996913.2996973","DOIUrl":null,"url":null,"abstract":"The Pyspatiotemporalgeom library is a pure-python library implementing spatial data types, spatiotemporal data types for moving regions, and operations to create and analyze those types. The library is available on the Python Package Index (PyPI) and has been downloaded over 18,000 times since its release. In this paper, we demonstrate mechanisms to create random spatial data and perform operations over them. We then show how to create moving regions from existing data, and demonstrate aggregate operations over moving regions.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2996913.2996973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The Pyspatiotemporalgeom library is a pure-python library implementing spatial data types, spatiotemporal data types for moving regions, and operations to create and analyze those types. The library is available on the Python Package Index (PyPI) and has been downloaded over 18,000 times since its release. In this paper, we demonstrate mechanisms to create random spatial data and perform operations over them. We then show how to create moving regions from existing data, and demonstrate aggregate operations over moving regions.
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