{"title":"Editorial: Special Issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference","authors":"Walid G. Aref","doi":"10.1145/3573198","DOIUrl":null,"url":null,"abstract":"This special issue contains extended versions of the best papers from the 2020 ACM SIGSPATIAL conference. Five papers have been recommended by the program committee co-chairs of the conference: Professors Yan Huang (North Texas University), Shawn Newsam (University of California, Merced), and Li Xiong (Emory University). These papers have received the highest ranks by the conference’s program committee members, and have also been endorsed by the PC co-chairs. Authors of all five conference papers have extended their papers and have submitted the extended versions for possible publication in ACM TSAS. To qualify for publication in ACM TSAS, one im-portant criterion is that the extended version includes at least 30% new material over the published conference version of the paper. The reviewers and the editorial board of ACM TSAS are the ones to decide on this issue, as well as assess the significance of the newly added material. Another im-portant criterion is that these extended versions should not have been published formerly in any other publication venue. To speed up the review process","PeriodicalId":43641,"journal":{"name":"ACM Transactions on Spatial Algorithms and Systems","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Spatial Algorithms and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0
Abstract
This special issue contains extended versions of the best papers from the 2020 ACM SIGSPATIAL conference. Five papers have been recommended by the program committee co-chairs of the conference: Professors Yan Huang (North Texas University), Shawn Newsam (University of California, Merced), and Li Xiong (Emory University). These papers have received the highest ranks by the conference’s program committee members, and have also been endorsed by the PC co-chairs. Authors of all five conference papers have extended their papers and have submitted the extended versions for possible publication in ACM TSAS. To qualify for publication in ACM TSAS, one im-portant criterion is that the extended version includes at least 30% new material over the published conference version of the paper. The reviewers and the editorial board of ACM TSAS are the ones to decide on this issue, as well as assess the significance of the newly added material. Another im-portant criterion is that these extended versions should not have been published formerly in any other publication venue. To speed up the review process
期刊介绍:
ACM Transactions on Spatial Algorithms and Systems (TSAS) is a scholarly journal that publishes the highest quality papers on all aspects of spatial algorithms and systems and closely related disciplines. It has a multi-disciplinary perspective in that it spans a large number of areas where spatial data is manipulated or visualized (regardless of how it is specified - i.e., geometrically or textually) such as geography, geographic information systems (GIS), geospatial and spatiotemporal databases, spatial and metric indexing, location-based services, web-based spatial applications, geographic information retrieval (GIR), spatial reasoning and mining, security and privacy, as well as the related visual computing areas of computer graphics, computer vision, geometric modeling, and visualization where the spatial, geospatial, and spatiotemporal data is central.