What: The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020)
Where: Online (Zoom and Slack)
When: Tuesday November 3rd, 2020, 9:00 AM - 4:00 PM (Eastern Time)

Please register for the conference + workshops at the following link and choose SpatialAPI as the workshop.
Registration is free for a limited number of attendees with voucher code "iSIGSpatial20".


The goal of this workshop is to provide students and researchers with hands-on experience with useful APIs such as web APIs or library APIs related to spatial data processing. At the same time, it gives an opportunity for API providers to reach out to targeted audience that can use their APIs. This will be an excellent opportunity for researchers to get familiar with the APIs that are available for their research and development. At the same time, the API providers will be able to get direct feedback for their users to understand how to further improve their APIs and make them more user-friendly.


(1) SLIPO: Scalable Data Integration for Points of Interest
Michalis Alexakis, Spiros Athanasiou, Yannis Kouvaras, Kostas Patroumpas, Dimitrios Skoutas (Information Management Systems Institute, Athena Research Center, Greece)
Introductory video: https://www.youtube.com/watch?v=cAaHJhnBDXo
Preparation instructions: https://github.com/SLIPO-EU/tutorial

(2) Cloud-Based Deep Learning on AWS Open Data Registry: Automatic Building and Road Extraction from Satellite and LiDAR
Yunzhi Shi, Xin Chen, Tianyu Zhang (Amazon Web Services)
Introductory video: https://www.youtube.com/watch?v=VCfc7mN1IKk
Preparation instructions: https://github.com/aws-samples/aws-open-data-satellite-lidar-tutorial

(3) PySAL: Python Spatial Analysis Library
Sergio Rey, Elijah Knaap (University of California-Riverside)
Introductory video: https://www.youtube.com/watch?v=xhZ1Tl6BBwk
Preparation instructions: https://github.com/sjsrey/pysal-spatialapi20

We look forward to seeing you at the workshop

Workshop Co-chairs
Ahmed Eldawy (UC Riverside)
Gobe Hobona (Open Geospatial Consortium)