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SIGSPATIAL PhD '14: Proceedings of the 1st ACM SIGSPATIAL PhD Workshop
ACM2014 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems Dallas/Fort Worth Texas November 4 - 7, 2014
ISBN:
978-1-4503-3158-6
Published:
04 November 2014
Sponsors:

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Abstract

The ACM SIGSPATIAL Ph.D. Symposium is a forum where Ph.D. students present, discuss, and receive feedback on their research in a constructive atmosphere. The symposium will be attended by professors, researchers and practitioners in the ACM SIGSPATIAL community, who will participate actively and contribute to the discussions. The workshop is co-located with ACM SIGSPATIAL GIS 2014.

The ACM SIGSPATIAL 2014 PhD Symposium provides an opportunity for doctoral students to explore and develop their research interests in the broad areas addressed by the ACM SIGSPATIAL community. We invite PhD students to submit a summary of their dissertation work to share their work with students in a similar situation as well as senior researchers in the field. We have two tracks for submission. The Junior PhD Track is for students who are in early stages of their doctoral studies. The submission should provide a clear problem definition, explain why it is important, survey related work, and summarize the new solutions that are pursued. The Senior PhD Track is for students who are close to completion (expected to graduate by 2014/2015). The submissions focused on describing the contribution they made in their doctoral dissertation. The strongest candidates are those who have a clear topic and research approach, and have made some progress, but who are not so far along that they can no longer make changes.

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research-article
Partitions to improve spatial reasoning
Article No.: 1, Pages 1–5https://doi.org/10.1145/2694859.2694864

The field of spatial reasoning has provided a litany of formal models and reasoning systems aimed at providing users with information about spatial tasks and concepts, ranging from point-to-point distance measurements coming from sensors all the way to ...

research-article
Novel clustering and analysis techniques for mining spatio-temporal data
Article No.: 2, Pages 1–5https://doi.org/10.1145/2694859.2694865

Due to the advances in remote sensing and sensor networks, different types of dynamic and spatio-temporal datasets become increasingly available. Extracting spatial and temporal patterns from such datasets is very important as it has many applications, ...

research-article
Spatial sensor data processing and analysis for mobile media applications
Article No.: 3, Pages 1–5https://doi.org/10.1145/2694859.2694868

Currently, an increasing number of user-generated videos (UGVs) are collected and uploaded to the Web -- a trend that is driven by the ubiquitous availability of smartphones and the advances in their camera technology. Additionally, with these sensor-...

research-article
Towards resource route queries with reappearance
Article No.: 4, Pages 1–5https://doi.org/10.1145/2694859.2694867

In many routing applications, it is unclear whether driving to a certain destination yields the wanted success. For example, consider driving to an appointment and looking for a parking spot. If there are generally few parking spots in the area or if ...

research-article
SimMatching: adaptable road network matching for efficient and scalable spatial data integration
Article No.: 5, Pages 1–5https://doi.org/10.1145/2694859.2694866

Spatial data integration is a challenging task due to the high degree of diversity between different geodata sources, the inherent complexity of objects, and the large size of datasets. To avoid duplicates in an integrated dataset, input sources have to ...

Contributors
  • University of Southern California
  • Arizona State University
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