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The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020): Seattle, WA, USA - November 3, 2020

Authors:

Ahmed Eldawy,

Gobe HobonaAuthors Info & Claims

SIGSPATIAL Special, Volume 12, Issue 3

Pages 20 - 22

https://doi.org/10.1145/3447994.3448003

Published: 25 January 2021 Publication History

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Abstract

With the increasing amount of publicly available geospatial data, the demand on spatial data exploration and analysis kept growing. The SIGSPATIAL community is both a provider of new systems with cutting-edge technology on accessing and processing geospatial data, and a user for all these systems. The SpatialAPI workshop is designed to help the SIGSPATIAL community by growing the knowledge of the existing well-established systems that are available for accessing and processing geospatial data. This includes, but is not limited to, web APIs, programming libraries, database systems, and geospatial extensions to existing systems.

References

[1]

SpatialAPI'20: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, New York, NY, USA, 2020. Association for Computing Machinery.

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[2]

M. Alexakis, S. Athanasiou, Y. Kouvaras, K. Patroumpas, and D. Skoutas. Slipo: Scalable data integration for points of interest. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI'20, New York, NY, USA, 2020. Association for Computing Machinery.

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[3]

A. Eldawy and G. Hobona. The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020), 2020. https://sites.google.com/ucr.edu/spatialapi20/home.

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[4]

S. Rey and E. Knaap. Workshop proposal: Pysal: Python spatial analysis library. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI'20, New York, NY, USA, 2020. Association for Computing Machinery.

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Y. Shi, X. Chen, and T. Zhang. Cloud-based deep learning on aws open data registry: Automatic building and road extraction from satellite and lidar. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI'20, New York, NY, USA, 2020. Association for Computing Machinery.

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The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020): Seattle, WA, USA - November 3, 2020
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
2. Information systems
  1. Information systems applications

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Published In

SIGSPATIAL Special Volume 12, Issue 3

November 2020

47 pages

EISSN:1946-7729

DOI:10.1145/3447994

Editor:
Martin Werner
Technical University of Munich, Germany

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 25 January 2021

Published in SIGSPATIAL Volume 12, Issue 3

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Highlights from IWGS 2011: the 2nd ACM SIGSPATIAL International Workshop on GeoStreaming: (Chicago, Illinois - November 1, 2011)

IWGS 2016 workshop report: The 7th ACM SIGSPATIAL International Workshop on GeoStreaming: San Francisco, CA, USA - October 31, 2016

IWGS 2017 workshop report: the 8th ACM SIGSPATIAL International Workshop on Geostreaming: Redondo Beach, CA, USA - November 7, 2017

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