10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
BigSpatial 2022
- URL: https://bigspatial2022.github.io/
- Event Date: 2022-11-01 ~ 2022-11-01
- Submission Date: 2022-08-31
- Location: Seattle, United States of America
Call for Papers
Big data is currently the hottest topic for data researchers and scientists with huge interests from the industry and federal agencies alike, as evident in the recent White House initiative on “Big data research and development”. Within the realms of big data, spatial and spatio-temporal data is one of fastest growing types of data and poses a massive challenge to researchers who deal with analyzing such data. With advances in remote sensors, sensor networks, and the proliferation of location sensing devices in daily life activities and common business practices, the generation of disparate, dynamic, and geographically distributed spatiotemporal data has exploded in recent years. In addition, significant progress in ground, air- and space-borne sensor technologies has led to an unprecedented access to earth science data for scientists from different disciplines, interested in studying the complementary nature of different parameters. The immediate availability of airbone sensor technologies such as UAVs has now allowed for real-time analysis in areas such as disaster management. The volume, variety and velocity at which this data is collected present unique challenges in both their analysis and management.
The 10th workshop on Analytics for Big Geospatial Data aims to bring together researchers from academia, government and industrial research labs who are working in the area of spatial analytics with an eye towards massive data sizes. The objective of this workshop is to provide a platform for researchers engaged in addressing the big data aspect of spatial and spatio-temporal data analytics to present and discuss their ideas. We invite participants from industry, academia, and government to participate in this event and share, contribute, and discuss the emerging big data challenges in the context of spatial and spatio-temporal data analysis.
The main motivation for this workshop stems from the increasing need for a forum to exchange ideas and recent research results, and to facilitate collaboration and dialog between academia, government, and industrial stakeholders.
We solicit high quality papers in the general areas of data analytics for large scale geospatial data.
All submitted papers will be peer reviewed. If accepted, at least one of the authors must attend the workshop to present the work. Selected accepted papers will be recommended for submission to special issues of journals.
Topics of Interest
The workshop welcomes contributions in the area of large scale analytics for spatial and spatio-temporal data. The topics include:
Scalable analysis algorithms for spatial and spatio-temporal data mining
Novel applications on high performance computing frameworks (Clusters, GPU, cloud, Grid) for large scale spatial and spatio-temporal analysis
Performance studies comparing clouds, grids, and clusters for spatial and spatio-temporal analytics
Novel indexing methods for massive geospatial data
Visualization of massive geospatial data
Customizations and extensions of existing software infrastructures such as Hadoop for spatial, and spatiotemporal data mining
Applications of big data analysis: Climate Change, Disaster Management, Monitoring Critical Infrastructures, Transportation
Submission Website
https://easychair.org/conferences/?conf=bigspatial2022
Paper Submission
We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Submitted papers can be of two types:
Regular Research Papers: These papers should report original research results or significant case studies. They should be at most 10 pages.
Position Papers: These papers should report novel research directions or identify challenging problems. They should be at most 4 pages.
Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates. Submissions are limited to 10 pages. All submissions should clearly present the author information including the names of the authors, the affiliations and the emails.
The papers should be submitted through the workshop submission system.
All submitted papers will be peer reviewed. We have identified a set of researchers who are currently active in the related research areas as potential reviewers. One author per accepted workshop paper is required to register for both the main SIGSPATIAL conference and the workshop, to attend the workshop, and to present the accepted paper in the workshop. Otherwise, the accepted paper will not appear in the workshop proceedings or in the ACM Digital Library version of the workshop proceedings.
Important Dates
Paper Submission: August 31, 2022
Notification of Acceptance: September 21, 2022
Camera Ready Paper Due: October 4, 2022
All submissions are due at 11:59 PM Pacific Standard Time.
Big data is currently the hottest topic for data researchers and scientists with huge interests from the industry and federal agencies alike, as evident in the recent White House initiative on “Big data research and development”. Within the realms of big data, spatial and spatio-temporal data is one of fastest growing types of data and poses a massive challenge to researchers who deal with analyzing such data. With advances in remote sensors, sensor networks, and the proliferation of location sensing devices in daily life activities and common business practices, the generation of disparate, dynamic, and geographically distributed spatiotemporal data has exploded in recent years. In addition, significant progress in ground, air- and space-borne sensor technologies has led to an unprecedented access to earth science data for scientists from different disciplines, interested in studying the complementary nature of different parameters. The immediate availability of airbone sensor technologies such as UAVs has now allowed for real-time analysis in areas such as disaster management. The volume, variety and velocity at which this data is collected present unique challenges in both their analysis and management.
The 10th workshop on Analytics for Big Geospatial Data aims to bring together researchers from academia, government and industrial research labs who are working in the area of spatial analytics with an eye towards massive data sizes. The objective of this workshop is to provide a platform for researchers engaged in addressing the big data aspect of spatial and spatio-temporal data analytics to present and discuss their ideas. We invite participants from industry, academia, and government to participate in this event and share, contribute, and discuss the emerging big data challenges in the context of spatial and spatio-temporal data analysis.
The main motivation for this workshop stems from the increasing need for a forum to exchange ideas and recent research results, and to facilitate collaboration and dialog between academia, government, and industrial stakeholders.
We solicit high quality papers in the general areas of data analytics for large scale geospatial data.
All submitted papers will be peer reviewed. If accepted, at least one of the authors must attend the workshop to present the work. Selected accepted papers will be recommended for submission to special issues of journals.
Topics of Interest
The workshop welcomes contributions in the area of large scale analytics for spatial and spatio-temporal data. The topics include:
Scalable analysis algorithms for spatial and spatio-temporal data mining
Novel applications on high performance computing frameworks (Clusters, GPU, cloud, Grid) for large scale spatial and spatio-temporal analysis
Performance studies comparing clouds, grids, and clusters for spatial and spatio-temporal analytics
Novel indexing methods for massive geospatial data
Visualization of massive geospatial data
Customizations and extensions of existing software infrastructures such as Hadoop for spatial, and spatiotemporal data mining
Applications of big data analysis: Climate Change, Disaster Management, Monitoring Critical Infrastructures, Transportation
Submission Website
https://easychair.org/conferences/?conf=bigspatial2022
Paper Submission
We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Submitted papers can be of two types:
Regular Research Papers: These papers should report original research results or significant case studies. They should be at most 10 pages.
Position Papers: These papers should report novel research directions or identify challenging problems. They should be at most 4 pages.
Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates. Submissions are limited to 10 pages. All submissions should clearly present the author information including the names of the authors, the affiliations and the emails.
The papers should be submitted through the workshop submission system.
All submitted papers will be peer reviewed. We have identified a set of researchers who are currently active in the related research areas as potential reviewers. One author per accepted workshop paper is required to register for both the main SIGSPATIAL conference and the workshop, to attend the workshop, and to present the accepted paper in the workshop. Otherwise, the accepted paper will not appear in the workshop proceedings or in the ACM Digital Library version of the workshop proceedings.
Important Dates
Paper Submission: August 31, 2022
Notification of Acceptance: September 21, 2022
Camera Ready Paper Due: October 4, 2022
All submissions are due at 11:59 PM Pacific Standard Time.
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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