{"title":"下载OpenStreetMap数据的评估方法","authors":"J. C. Ehrig-Page","doi":"10.14714/cp95.1633","DOIUrl":null,"url":null,"abstract":"Often, one of the greatest limitations in creating maps or performing spatial analysis is acquiring data. OpenStreetMap (OSM) is useful resource which offers a wide variety of easily accessible datasets under an Open Database License (ODbL), including those that can be hard to find for some areas, such as parks, building footprints, and street centerlines. There are several ways to access and download OSM data, but many of these methods can be difficult to use due to their limited functionality or complexity. Additionally, they may require users to process the data, or purge unnecessary portions. In this piece, I explore multiple methods for downloading OSM data and evaluate them alongside the QuickOSM plugin for QGIS.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluating Methods for Downloading OpenStreetMap Data\",\"authors\":\"J. C. Ehrig-Page\",\"doi\":\"10.14714/cp95.1633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Often, one of the greatest limitations in creating maps or performing spatial analysis is acquiring data. OpenStreetMap (OSM) is useful resource which offers a wide variety of easily accessible datasets under an Open Database License (ODbL), including those that can be hard to find for some areas, such as parks, building footprints, and street centerlines. There are several ways to access and download OSM data, but many of these methods can be difficult to use due to their limited functionality or complexity. Additionally, they may require users to process the data, or purge unnecessary portions. In this piece, I explore multiple methods for downloading OSM data and evaluate them alongside the QuickOSM plugin for QGIS.\",\"PeriodicalId\":39760,\"journal\":{\"name\":\"Journal of the Brazilian Computer Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Brazilian Computer Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14714/cp95.1633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Brazilian Computer Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14714/cp95.1633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating Methods for Downloading OpenStreetMap Data
Often, one of the greatest limitations in creating maps or performing spatial analysis is acquiring data. OpenStreetMap (OSM) is useful resource which offers a wide variety of easily accessible datasets under an Open Database License (ODbL), including those that can be hard to find for some areas, such as parks, building footprints, and street centerlines. There are several ways to access and download OSM data, but many of these methods can be difficult to use due to their limited functionality or complexity. Additionally, they may require users to process the data, or purge unnecessary portions. In this piece, I explore multiple methods for downloading OSM data and evaluate them alongside the QuickOSM plugin for QGIS.
期刊介绍:
JBCS is a formal quarterly publication of the Brazilian Computer Society. It is a peer-reviewed international journal which aims to serve as a forum to disseminate innovative research in all fields of computer science and related subjects. Theoretical, practical and experimental papers reporting original research contributions are welcome, as well as high quality survey papers. The journal is open to contributions in all computer science topics, computer systems development or in formal and theoretical aspects of computing, as the list of topics below is not exhaustive. Contributions will be considered for publication in JBCS if they have not been published previously and are not under consideration for publication elsewhere.