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A Spatiotemporal Database for Ozone in the Conterminous U.S.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781118445112.stat00407openalex-snapshot
Computer‐Intensive Statistical Methods
inferredcites →https://doi.org/10.1007/3-540-45349-0_29openalex-snapshot
Efficient Querying of Periodic Spatiotemporal Objects
inferredcites →https://doi.org/10.1007/3-540-45799-2_11openalex-snapshot
A Comparison of Spatio-temporal Interpolation Methods
inferredcites →https://doi.org/10.1007/3-540-46439-5_30openalex-snapshot
Parametric Rectangles: A Model for Querying and Animation of Spatiotemporal Databases
inferredcites →https://doi.org/10.1007/978-3-540-25954-1_2openalex-snapshot
A New Shape Function Based Spatiotemporal Interpolation Method
inferredcites →https://doi.org/10.1016/0098-3004(94)90041-8openalex-snapshot
GSLIB: Geostatistical software library and user's guide
inferredcites →https://doi.org/10.1016/j.artmed.2006.05.001openalex-snapshot
Spatiotemporal reasoning about epidemiological data
inferredcites →https://doi.org/10.1016/s0198-9715(03)00018-8openalex-snapshot
Interpolation methods for spatio-temporal geographic data
inferredcites →https://doi.org/10.1023/a:1009805532638openalex-snapshot
Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases
inferredcites →https://doi.org/10.1023/a:1009849314891openalex-snapshot
Constraint-based Interoperability of Spatiotemporal Databases*
inferredcites →https://doi.org/10.1023/a:1016399308282openalex-snapshot
Efficient Querying and Animation of Periodic Spatio-Temporal Databases
inferredcites →https://doi.org/10.1023/a:1026086723558openalex-snapshot
Classes of Spatio-Temporal Objects and their Closure Properties
inferredcites →https://doi.org/10.1080/00401706.1995.10484382openalex-snapshot
Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap
inferredcites →https://doi.org/10.1080/02693799508902022openalex-snapshot
An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data
inferredcites →https://doi.org/10.1080/10106049209354371openalex-snapshot
Time in geographic information systems
inferredcites →https://doi.org/10.1093/comjnl/37.1.26openalex-snapshot
A Unified Model for Spatial and Temporal Information
inferredcites →https://doi.org/10.1109/time.1999.777970openalex-snapshot
A geometric framework for specifying spatiotemporal objects
inferredcites →https://doi.org/10.1142/9789812796752_0004openalex-snapshot
A SHAPE-BASED APPROACH TO CHANGE DETECTION AND INFORMATION MINING IN REMOTE SENSING
inferredcites →https://doi.org/10.1145/1146598.1146678openalex-snapshot
Voting prediction using new spatiotemporal interpolation methods
inferredcites →https://doi.org/10.1145/288692.288716openalex-snapshot
Abstract and discrete modeling of spatio-temporal data types
inferredcites →https://doi.org/10.1145/335191.335426openalex-snapshot
A data model and data structures for moving objects databases
inferredcites →https://doi.org/10.1145/342009.335426openalex-snapshot
A data model and data structures for moving objects databases
inferredcites →https://doi.org/10.1145/800186.810616openalex-snapshot
A two-dimensional interpolation function for irregularly-spaced data
inferredcites →https://doi.org/10.1190/1.1439905openalex-snapshot
Applications of two-dimensional linear wavelength filtering
inferredcites →https://doi.org/10.1201/9781003062592openalex-snapshot
Time in Geographic Information Systems
inferredcites →https://doi.org/10.1201/9781420035315openalex-snapshot
Handbook of Discrete and Computational Geometry, Second Edition
inferredcites →https://doi.org/10.1201/9781420069143.ch2openalex-snapshot
Introduction to Geographic Information Systems
inferredcites →https://doi.org/10.1201/9781482272956-26openalex-snapshot
Towards a 4D GIS: four-dimensional interpolation utilizing kriging
inferredcites →https://doi.org/10.1559/152304083783914958openalex-snapshot
Spatial Interpolation Methods: A Review
inferredcites →https://doi.org/10.2307/1269177openalex-snapshot
GSLIB: Geostatistical Software Library and User's Guide
inferredcites →https://doi.org/10.2307/2533409openalex-snapshot
Computer Intensive Statistical Methods: Validation Model Selection and Bootstrap.
inferredcites →https://doi.org/10.2307/2983538openalex-snapshot
Computer Intensive Statistical Methods: Validation Model Selection and Bootstrap.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/eco.56openalex-snapshot
Validation and ecosystem applications of the EDEN water‐surface model for the Florida Everglades
inferred← citeshttps://doi.org/10.1007/978-0-387-35973-1_186openalex-snapshot
Constraint Database Queries
inferred← citeshttps://doi.org/10.1007/978-0-387-35973-1_188openalex-snapshot
Constraint Databases and Data Interpolation
inferred← citeshttps://doi.org/10.1007/978-1-4899-7993-3_803-2openalex-snapshot
Spatiotemporal Interpolation Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-319-23519-6_188-2openalex-snapshot
Constraint Databases and Data Interpolation
inferred← citeshttps://doi.org/10.1016/b978-0-12-815822-7.00007-8openalex-snapshot
Spatiotemporal interpolation methods for air pollution
inferred← citeshttps://doi.org/10.1037/e527382013-002openalex-snapshot
Estimating Population Exposure to Fine Particulate Matter in the Conterminous U.S. using Shape Function-based Spatiotemporal Interpolation Method
inferred← citeshttps://doi.org/10.1109/iccas.2016.7832293openalex-snapshot
Resource-constrained decentralized active sensing for multi-robot systems using distributed Gaussian processes
inferred← citeshttps://doi.org/10.1109/mcs.2020.3032801openalex-snapshot
Evolving Gaussian Processes and Kernel Observers for Learning and Control in Spatiotemporally Varying Domains: With Applications in Agriculture, Weather Monitoring, and Fluid Dynamics
inferred← citeshttps://doi.org/10.1109/time.2010.24openalex-snapshot
Local Polynomial Regression Models for Average Traffic Speed Estimation and Forecasting in Linear Constraint Databases
inferred← citeshttps://doi.org/10.1145/2350182.2350188openalex-snapshot
Efficient space-time modeling for informative sensing
inferred← citeshttps://doi.org/10.1609/aaai.v26i1.8166openalex-snapshot
Learning Non-Stationary Space-Time Models for Environmental Monitoring
inferred← citeshttps://doi.org/10.3390/ijerph110909101openalex-snapshot
Fast Inverse Distance Weighting-Based Spatiotemporal Interpolation: A Web-Based Application of Interpolating Daily Fine Particulate Matter PM2.5 in the Contiguous U.S. Using Parallel Programming and k-d Tree
inferred← citeshttps://doi.org/10.3808/jei.200800130openalex-snapshot
An Application of a Shape Function Based Spatiotemporal Interpolation Method to Ozone and Population-Based Environmental Exposure in the Contiguous U.S.
inferred← citeshttps://doi.org/10.48550/arxiv.1804.10279openalex-snapshot
Adaptive Sensing for Learning Nonstationary Environment Models
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