A

Ahmad, A.

• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Ajayakumar, J.

• 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), pages 139–146

Anderson, D.

• 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, pages 199–205

Axley, E.

• 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, pages 199–205

B

Biddle, C.

• 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, pages 199–205

Burdette, J.

• 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, pages 199–205

C

Chen, X.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

Chen, Y.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

Chen, Z.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

Cheng, T.

• DETECTING VESSELS CARRYING MIGRANTS USING MACHINE LEARNING, pages 53–60

Chiu, L. S.

• THE IMPACT OF SPATIAL AND TEMPORAL RESOLUTIONS IN TROPICAL SUMMER RAINFALL DISTRIBUTION: PRELIMINARY RESULTS, pages 183–191

Clarke, K.

• PREFACE, pages 1–2

Cook, A.

• DETECTION OF BEHAVIOR PATTERNS OF INTEREST USING BIG DATA WHICH HAVE SPATIAL AND TEMPORAL ATTRIBUTES, pages 31–35

Corti, P.

• MAKING TEMPORAL SEARCH MORE CENTRAL IN SPATIAL DATA INFRASTRUCTURES, pages 93–95

Cui, K.

• ANALYZING US MAINLAND PRECIPITATION PATTERN CHANGE BASED ON A KINETICS-BASED GIS METHOD, pages 147–152

D

Deiotte, R.

• COMPARISON OF SPATIOTEMPORAL MAPPING TECHNIQUES FOR ENORMOUS ETL AND EXPLOITATION PATTERNS, pages 7–13

Du, Z.

• SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH, pages 77–85

E

Eberle, R.

• 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, pages 199–205

F

Fan, F.

• GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES, pages 167–173

Fan, J.

• A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN, pages 15–22
• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Feng, X.

• A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN, pages 15–22

G

Ghosh, A.

• USING MULTI-TEMPORAL REMOTE SENSING DATA TO ANALYZE THE SPATIO-TEMPORAL PATTERNS OF DRY SEASON RICE PRODUCTION IN BANGLADESH, pages 61–68

Gong, C.

• SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM, pages 153–160
• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Guan, W.

• PREFACE, pages 1–2

Guo, Y.

• SEQUENTIAL CLASSIFIER TRAINING FOR RICE MAPPING WITH MULTITEMPORAL REMOTE SENSING IMAGERY, pages 161–165

H

Han, X.

• EFFICIENT LIDAR POINT CLOUD DATA MANAGING AND PROCESSING IN A HADOOP-BASED DISTRIBUTED FRAMEWORK, pages 121–124

Hao, X.

• THE IMPACT OF SPATIAL AND TEMPORAL RESOLUTIONS IN TROPICAL SUMMER RAINFALL DISTRIBUTION: PRELIMINARY RESULTS, pages 183–191

Heming, L.

• SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM, pages 153–160

Hohl, A.

• 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, pages 199–205

Holly Zanoni, I.

• GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES, pages 167–173

Hou, J.

• A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN, pages 15–22
• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Hu, F.

• Leveraging LSTM for rapid intensifications prediction of tropical cyclones, pages 101–105
• EFFICIENT LIDAR POINT CLOUD DATA MANAGING AND PROCESSING IN A HADOOP-BASED DISTRIBUTED FRAMEWORK, pages 121–124

J

Jia, X.

• SEQUENTIAL CLASSIFIER TRAINING FOR RICE MAPPING WITH MULTITEMPORAL REMOTE SENSING IMAGERY, pages 161–165

Jiang, Y.

• Leveraging LSTM for rapid intensifications prediction of tropical cyclones, pages 101–105
• GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES, pages 167–173

Jin, L.

• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Jordan, L.

• APPLYING THIESSEN POLYGON CATCHMENT AREAS AND GRIDDED POPULATION WEIGHTS TO ESTIMATE CONFLICT-DRIVEN POPULATION CHANGES IN SOUTH SUDAN, pages 23–30

K

Kakkar, D.

• BUILDING A BILLION SPATIO-TEMPORAL OBJECT SEARCH AND VISUALIZATION PLATFORM, pages 97–100

Karimian, H.

• A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN, pages 15–22
• SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM, pages 153–160
• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Kaufman, J.

• 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, pages 199–205

Kim, C.

• MODELING A SPATIO-TEMPORAL INDIVIDUAL TRAVEL BEHAVIOR USING GEOTAGGED SOCIAL NETWORK DATA: A CASE STUDY OF GREATER CINCINNATI, pages 207–214

Koohikamali, M.

• SPATIOTEMPORAL PATTERNS AND SOCIOECONOMIC DIMENSIONS OF SHARED ACCOMMODATIONS: THE CASE OF AIRBNB IN LOS ANGELES, CALIFORNIA, pages 107–114

L

Lei, J.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

Lewis, B.

• MAKING TEMPORAL SEARCH MORE CENTRAL IN SPATIAL DATA INFRASTRUCTURES, pages 93–95
• BUILDING A BILLION SPATIO-TEMPORAL OBJECT SEARCH AND VISUALIZATION PLATFORM, pages 97–100

Li, C. C.

• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Li, Q.

• A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN, pages 15–22
• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Li, Y.

• Leveraging LSTM for rapid intensifications prediction of tropical cyclones, pages 101–105
• GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES, pages 167–173

Lin, S.

• A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN, pages 15–22

Liu, Q.

• THE IMPACT OF SPATIAL AND TEMPORAL RESOLUTIONS IN TROPICAL SUMMER RAINFALL DISTRIBUTION: PRELIMINARY RESULTS, pages 183–191

Liu, R.

• SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH, pages 77–85

Luo, J.

• MULTI-SPATIOTEMPORAL PATTERNS OF RESIDENTIAL BURGLARY CRIMES IN CHICAGO: 2006-2016, pages 193–198

M

Mills, D. A.

• AGENT BASED MODELING: FINE-SCALE SPATIO-TEMPORAL ANALYSIS OF PERTUSSIS, pages 37–46

Mo, Y.

• DAILY ESTIMATION OF FINE PARTICULATE MATTER MASS CONCENTRATION THROUGH SATELLITE BASED AEROSOL OPTICAL DEPTH, pages 175–181

Morton, A.

• A SIMPLE SPATIALLY WEIGHTED MEASURE OF TEMPORAL STABILITY FOR DATA WITH LIMITED TEMPORAL OBSERVATIONS, pages 47–51
• 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, pages 199–205

Myers, A.

• 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, pages 199–205

N

Nittel, S.

• REAL-TIME EARTHQUAKE MONITORING WITH SPATIO-TEMPORAL FIELDS, pages 215–222

P

Paull, D.

• SEQUENTIAL CLASSIFIER TRAINING FOR RICE MAPPING WITH MULTITEMPORAL REMOTE SENSING IMAGERY, pages 161–165

Piburn, J.

• A SIMPLE SPATIALLY WEIGHTED MEASURE OF TEMPORAL STABILITY FOR DATA WITH LIMITED TEMPORAL OBSERVATIONS, pages 47–51
• 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, pages 199–205

Pick, J. B.

• SPATIOTEMPORAL PATTERNS AND SOCIOECONOMIC DIMENSIONS OF SHARED ACCOMMODATIONS: THE CASE OF AIRBNB IN LOS ANGELES, CALIFORNIA, pages 107–114

Q

Qi, L.

• SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM, pages 153–160

Qian, J.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

S

Saeedimoghaddam, M.

• MODELING A SPATIO-TEMPORAL INDIVIDUAL TRAVEL BEHAVIOR USING GEOTAGGED SOCIAL NETWORK DATA: A CASE STUDY OF GREATER CINCINNATI, pages 207–214

Sarkar, A.

• SPATIOTEMPORAL PATTERNS AND SOCIOECONOMIC DIMENSIONS OF SHARED ACCOMMODATIONS: THE CASE OF AIRBNB IN LOS ANGELES, CALIFORNIA, pages 107–114

Sfyridis, A.

• DETECTING VESSELS CARRYING MIGRANTS USING MACHINE LEARNING, pages 53–60

Sha, D.

• EFFICIENT LIDAR POINT CLOUD DATA MANAGING AND PROCESSING IN A HADOOP-BASED DISTRIBUTED FRAMEWORK, pages 121–124

Shen, Z. H.

• A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES, pages 131–138

Shew, A. M.

• USING MULTI-TEMPORAL REMOTE SENSING DATA TO ANALYZE THE SPATIO-TEMPORAL PATTERNS OF DRY SEASON RICE PRODUCTION IN BANGLADESH, pages 61–68

Shi, X.

• ELASTIC CLOUD COMPUTING ARCHITECTURE AND SYSTEM FOR HETEROGENEOUS SPATIOTEMPORAL COMPUTING, pages 115–119

Shook, E.

• 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), pages 139–146

Sorokine, A.

• SPATIO-TEMPORAL DATA MODEL FOR INTEGRATING EVOLVING NATION-LEVEL DATASETS, pages 69–76
• 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, pages 199–205

Stewart, R.

• A SIMPLE SPATIALLY WEIGHTED MEASURE OF TEMPORAL STABILITY FOR DATA WITH LIMITED TEMPORAL OBSERVATIONS, pages 47–51
• 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, pages 199–205

Stewart, R. N.

• SPATIO-TEMPORAL DATA MODEL FOR INTEGRATING EVOLVING NATION-LEVEL DATASETS, pages 69–76

Subasinghe, I.

• REAL-TIME EARTHQUAKE MONITORING WITH SPATIO-TEMPORAL FIELDS, pages 215–222

T

Turner, V. K.

• 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), pages 139–146

U

Ur, J.

• PREFACE, pages 1–2

Usher, A.

• DETECTION OF BEHAVIOR PATTERNS OF INTEREST USING BIG DATA WHICH HAVE SPATIAL AND TEMPORAL ATTRIBUTES, pages 31–35

V

La Valley, R.

• COMPARISON OF SPATIOTEMPORAL MAPPING TECHNIQUES FOR ENORMOUS ETL AND EXPLOITATION PATTERNS, pages 7–13

La Valley, R. W.

• DETECTION OF BEHAVIOR PATTERNS OF INTEREST USING BIG DATA WHICH HAVE SPATIAL AND TEMPORAL ATTRIBUTES, pages 31–35

Vespe, M.

• DETECTING VESSELS CARRYING MIGRANTS USING MACHINE LEARNING, pages 53–60

W

Wang, C.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6
• EFFICIENT LIDAR POINT CLOUD DATA MANAGING AND PROCESSING IN A HADOOP-BASED DISTRIBUTED FRAMEWORK, pages 121–124

Wang, F. Y.

• A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES, pages 131–138

Wang, X. Z.

• A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES, pages 131–138

Wang, Y. L.

• A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES, pages 131–138

Whittier, J. C.

• REAL-TIME EARTHQUAKE MONITORING WITH SPATIO-TEMPORAL FIELDS, pages 215–222

Wu, S.

• SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH, pages 77–85

X

Xiao, F.

• A SPARK BASED COMPUTING FRAMEWORK FOR SPATIAL DATA, pages 125–130

Y

Yan, Y.

• SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH, pages 77–85

Yang, C.

• PREFACE, pages 1–2
• Leveraging LSTM for rapid intensifications prediction of tropical cyclones, pages 101–105

Yang, Q.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

Yang, R.

• Leveraging LSTM for rapid intensifications prediction of tropical cyclones, pages 101–105

Yang, Z.

• CANOPY SURFACE RECONSTRUCTION AND TROPICAL FOREST PARAMETERS PREDICTION FROM AIRBORNE LASER SCANNER FOR LARGE FOREST AREA, pages 3–6

Yu, M.

• PREFACE, pages 1–2
• Leveraging LSTM for rapid intensifications prediction of tropical cyclones, pages 101–105

Yuqin, M.

• SPATIO-TEMPORAL SIMULATION AND ANALYSIS OF REGIONAL ECOLOGICAL SECURITY BASED ON LSTM, pages 153–160

Z

Zhang, F.

• SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH, pages 77–85

Zhao, J. H.

• A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES, pages 131–138

Zhou, Y. C.

• A NOVEL APPROACH OF INDEXING AND RETRIEVING SPATIAL POLYGONS FOR EFFICIENT SPATIAL REGION QUERIES, pages 131–138

Zollweg, J. A.

• EXTRACTING SPATIOTEMPORAL OBJECTS FROM RASTER DATA TO REPRESENT PHYSICAL FEATURES AND ANALYZE RELATED PROCESSES, pages 87–92