ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus

Volume IV-4/W2, 2017 | 2nd International Symposium on Spatiotemporal Computing 2017 (Volume IV-4/W2)

7–9 August 2017, Cambridge, USA
Editor(s): C. Yang, W. Guan, K. Clarke, M. Yu, and J. Ur

Volume IV-4/W2, 2017 | 2nd International Symposium on Spatiotemporal Computing 2017 (Volume IV-4/W2)

7–9 August 2017, Cambridge, USA
Editor(s): C. Yang, W. Guan, K. Clarke, M. Yu, and J. Ur
19 Oct 2017
PREFACE
C. Yang, W. Guan, K. Clarke, M. Yu, and J. Ur
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 1–2, https://doi.org/10.5194/isprs-annals-IV-4-W2-1-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-1-2017, 2017
Spatiotemporal Modeling and Methodologies
19 Oct 2017
CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA
Z. Chen, Z. Yang, Y. Chen, C. Wang, J. Qian, Q. Yang, X. Chen, and J. Lei
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 3–6, https://doi.org/10.5194/isprs-annals-IV-4-W2-3-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-3-2017, 2017
19 Oct 2017
COMPARISON OF SPATIOTEMPORAL MAPPING TECHNIQUES FOR ENORMOUS ETL AND EXPLOITATION PATTERNS
R. Deiotte and R. La Valley
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 7–13, https://doi.org/10.5194/isprs-annals-IV-4-W2-7-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-7-2017, 2017
19 Oct 2017
A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN
J. Fan, Q. Li, J. Hou, X. Feng, H. Karimian, and S. Lin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 15–22, https://doi.org/10.5194/isprs-annals-IV-4-W2-15-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-15-2017, 2017
19 Oct 2017
APPLYING THIESSEN POLYGON CATCHMENT AREAS AND GRIDDED POPULATION WEIGHTS TO ESTIMATE CONFLICT-DRIVEN POPULATION CHANGES IN SOUTH SUDAN
L. Jordan
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 23–30, https://doi.org/10.5194/isprs-annals-IV-4-W2-23-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-23-2017, 2017
19 Oct 2017
DETECTION OF BEHAVIOR PATTERNS OF INTEREST USING BIG DATA WHICH HAVE SPATIAL AND TEMPORAL ATTRIBUTES
R. W. La Valley, A. Usher, and A. Cook
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 31–35, https://doi.org/10.5194/isprs-annals-IV-4-W2-31-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-31-2017, 2017
19 Oct 2017
AGENT BASED MODELING: FINE-SCALE SPATIO-TEMPORAL ANALYSIS OF PERTUSSIS
D. A. Mills
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 37–46, https://doi.org/10.5194/isprs-annals-IV-4-W2-37-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-37-2017, 2017
19 Oct 2017
A SIMPLE SPATIALLY WEIGHTED MEASURE OF TEMPORAL STABILITY FOR DATA WITH LIMITED TEMPORAL OBSERVATIONS
J. Piburn, R. Stewart, and A. Morton
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 47–51, https://doi.org/10.5194/isprs-annals-IV-4-W2-47-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-47-2017, 2017
19 Oct 2017
DETECTING VESSELS CARRYING MIGRANTS USING MACHINE LEARNING
A. Sfyridis, T. Cheng, and M. Vespe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 53–60, https://doi.org/10.5194/isprs-annals-IV-4-W2-53-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-53-2017, 2017
19 Oct 2017
USING MULTI-TEMPORAL REMOTE SENSING DATA TO ANALYZE THE SPATIO-TEMPORAL PATTERNS OF DRY SEASON RICE PRODUCTION IN BANGLADESH
A. M. Shew and A. Ghosh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 61–68, https://doi.org/10.5194/isprs-annals-IV-4-W2-61-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-61-2017, 2017
19 Oct 2017
SPATIO-TEMPORAL DATA MODEL FOR INTEGRATING EVOLVING NATION-LEVEL DATASETS
A. Sorokine and R. N Stewart
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 69–76, https://doi.org/10.5194/isprs-annals-IV-4-W2-69-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-69-2017, 2017
19 Oct 2017
SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH
S. Wu, Y. Yan, Z. Du, F. Zhang, and R. Liu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 77–85, https://doi.org/10.5194/isprs-annals-IV-4-W2-77-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-77-2017, 2017
19 Oct 2017
EXTRACTING SPATIOTEMPORAL OBJECTS FROM RASTER DATA TO REPRESENT PHYSICAL FEATURES AND ANALYZE RELATED PROCESSES
J. A. Zollweg
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 87–92, https://doi.org/10.5194/isprs-annals-IV-4-W2-87-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-87-2017, 2017
Spatiotemporal Computing
19 Oct 2017
MAKING TEMPORAL SEARCH MORE CENTRAL IN SPATIAL DATA INFRASTRUCTURES
P. Corti and B. Lewis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 93–95, https://doi.org/10.5194/isprs-annals-IV-4-W2-93-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-93-2017, 2017
19 Oct 2017
BUILDING A BILLION SPATIO-TEMPORAL OBJECT SEARCH AND VISUALIZATION PLATFORM
D. Kakkar and B. Lewis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 97–100, https://doi.org/10.5194/isprs-annals-IV-4-W2-97-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-97-2017, 2017
19 Oct 2017
Leveraging LSTM for rapid intensifications prediction of tropical cyclones
Y. Li, R. Yang, C. Yang, M. Yu, F. Hu, and Y. Jiang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 101–105, https://doi.org/10.5194/isprs-annals-IV-4-W2-101-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-101-2017, 2017
19 Oct 2017
SPATIOTEMPORAL PATTERNS AND SOCIOECONOMIC DIMENSIONS OF SHARED ACCOMMODATIONS: THE CASE OF AIRBNB IN LOS ANGELES, CALIFORNIA
A. Sarkar, M. Koohikamali, and J. B. Pick
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 107–114, https://doi.org/10.5194/isprs-annals-IV-4-W2-107-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-107-2017, 2017
19 Oct 2017
ELASTIC CLOUD COMPUTING ARCHITECTURE AND SYSTEM FOR HETEROGENEOUS SPATIOTEMPORAL COMPUTING
X. Shi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 115–119, https://doi.org/10.5194/isprs-annals-IV-4-W2-115-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-115-2017, 2017
19 Oct 2017
EFFICIENT LIDAR POINT CLOUD DATA MANAGING AND PROCESSING IN A HADOOP-BASED DISTRIBUTED FRAMEWORK
C. Wang, F. Hu, D. Sha, and X. Han
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 121–124, https://doi.org/10.5194/isprs-annals-IV-4-W2-121-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-121-2017, 2017
19 Oct 2017
A SPARK BASED COMPUTING FRAMEWORK FOR SPATIAL DATA
F. Xiao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 125–130, https://doi.org/10.5194/isprs-annals-IV-4-W2-125-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-125-2017, 2017
19 Oct 2017
A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES
J. H. Zhao, X. Z. Wang, F. Y. Wang, Z. H. Shen, Y. C. Zhou, and Y. L. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 131–138, https://doi.org/10.5194/isprs-annals-IV-4-W2-131-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-131-2017, 2017
Spatiotemporal Applications
19 Oct 2017
Normalization Strategies for Enhancing Spatio-Temporal Analysis of Social Media Responses during Extreme Events: A Case Study based on Analysis of Four Extreme Events using Socio-Environmental Data Explorer (SEDE)
J. Ajayakumar, E. Shook, and V. K. Turner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 139–146, https://doi.org/10.5194/isprs-annals-IV-4-W2-139-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-139-2017, 2017
20 Oct 2017
ANALYZING US MAINLAND PRECIPITATION PATTERN CHANGE BASED ON A KINETICS-BASED GIS METHOD
K. Cui
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 147–152, https://doi.org/10.5194/isprs-annals-IV-4-W2-147-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-147-2017, 2017
20 Oct 2017
SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM
C. Gong, L. Qi, L. Heming, H. Karimian, and M. Yuqin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 153–160, https://doi.org/10.5194/isprs-annals-IV-4-W2-153-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-153-2017, 2017
20 Oct 2017
SEQUENTIAL CLASSIFIER TRAINING FOR RICE MAPPING WITH MULTITEMPORAL REMOTE SENSING IMAGERY
Y. Guo, X. Jia, and D. Paull
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 161–165, https://doi.org/10.5194/isprs-annals-IV-4-W2-161-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-161-2017, 2017
20 Oct 2017
GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES
Y. Jiang, F. Fan, I. Holly Zanoni, and Y. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 167–173, https://doi.org/10.5194/isprs-annals-IV-4-W2-167-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-167-2017, 2017
20 Oct 2017
DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH
H. Karimian, Q. Li, C. C. Li, J. Fan, L. Jin, C. Gong, Y. Mo, J. Hou, and A. Ahmad
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 175–181, https://doi.org/10.5194/isprs-annals-IV-4-W2-175-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-175-2017, 2017
20 Oct 2017
THE IMPACT OF SPATIAL AND TEMPORAL RESOLUTIONS IN TROPICAL SUMMER RAINFALL DISTRIBUTION: PRELIMINARY RESULTS
Q. Liu, L. S Chiu, and X. Hao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 183–191, https://doi.org/10.5194/isprs-annals-IV-4-W2-183-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-183-2017, 2017
20 Oct 2017
MULTI-SPATIOTEMPORAL PATTERNS OF RESIDENTIAL BURGLARY CRIMES IN CHICAGO: 2006-2016
J. Luo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 193–198, https://doi.org/10.5194/isprs-annals-IV-4-W2-193-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-193-2017, 2017
20 Oct 2017
The World Spatiotemporal Analytics and Mapping Project (WSTAMP): Further Progress in Discovering, Exploring, and Mapping Spatiotemporal Patterns Across the World’s Largest Open Source Data Sets
J. Piburn, R. Stewart, A. Myers, A. Sorokine, E. Axley, D. Anderson, J. Burdette, C. Biddle, A. Hohl, R. Eberle, J. Kaufman, and A. Morton
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 199–205, https://doi.org/10.5194/isprs-annals-IV-4-W2-199-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-199-2017, 2017
20 Oct 2017
MODELING A SPATIO-TEMPORAL INDIVIDUAL TRAVEL BEHAVIOR USING GEOTAGGED SOCIAL NETWORK DATA: A CASE STUDY OF GREATER CINCINNATI
M. Saeedimoghaddam and C. Kim
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 207–214, https://doi.org/10.5194/isprs-annals-IV-4-W2-207-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-207-2017, 2017
20 Oct 2017
REAL-TIME EARTHQUAKE MONITORING WITH SPATIO-TEMPORAL FIELDS
J. C. Whittier, S. Nittel, and I. Subasinghe
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 215–222, https://doi.org/10.5194/isprs-annals-IV-4-W2-215-2017,https://doi.org/10.5194/isprs-annals-IV-4-W2-215-2017, 2017
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