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Editorial: Special Issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference

Editorial: Special Issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference Editorial: Special Issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference 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 con- ference: 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. Au- thors 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, and with the help of the PC co-chairs of the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Spatial Algorithms and Systems (TSAS) Association for Computing Machinery

Editorial: Special Issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2023 Copyright held by the owner/author(s).
ISSN
2374-0353
eISSN
2374-0361
DOI
10.1145/3573198
Publisher site
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Abstract

Editorial: Special Issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference 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 con- ference: 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. Au- thors 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, and with the help of the PC co-chairs of the

Journal

ACM Transactions on Spatial Algorithms and Systems (TSAS) – Association for Computing Machinery

Published: Feb 3, 2023

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