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ORCID7th BigSpatial@SIGSPATIAL 2018: Seattle, WA, USA
- Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6041-8 - Md. Mahbub Alam
, Suprio Ray, Virendra C. Bhavsar:
A Performance Study of Big Spatial Data Systems. 1-9 - Peter Baumann, Katrin Kohler, Vlad Merticariu, Ismoil Isroilov:
Using Datacube Technology for In-Situ-Enhanced Precision Farming. 10-15 - W. Randolph Franklin, Salles Viana Gomes de Magalhães, Marcus Vinícius Alvim Andrade:
Data Structures for Parallel Spatial Algorithms on Large Datasets (Vision paper). 16-19 - Haowen Lin, Yao-Yi Chiang:
An Uncertainty Aware Method for Geographic Data Conflation. 20-27 - Mengyu Ma, Wei Xiong, Luo Chen, Ning Guo, Jun Li, Ning Jing:
HiAccess: High-resolution Accessibility Analysis with High Performance Geographic Information System. 28-31 - Shen Ren, Bo Yang, Liye Zhang, Zengxiang Li:
Traffic Speed Prediction with Convolutional Neural Network Adapted for Non-linear Spatio-temporal Dynamics. 32-41 - Arun Sharma, Syed Mohammed Arshad Zaidi, Varun Chandola, Melissa R. Allen, Budhendra L. Bhaduri:
WebGIobe - A cloud-based geospatial analysis framework for interacting with climate data. 42-46 - Martin Werner:
Spatial Data Locality in Scalable and Fault-tolerant Distributed Spatial Computing Systems. 47-56 - Nathan Pool, Ranga Raju Vatsavai:
Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. 57-62
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