Searching for On The Change Of Support Problem For Spatio Temporal Data information? Find all needed info by using official links provided below.
https://academic.oup.com/biostatistics/article/2/1/31/238352
Mar 01, 2001 · In practice, spatial data are sometimes collected at points (i.e. point-referenced data) and at other times are associated with areal units (i.e. block data). The change of support problem is concerned with inference about the values of a variable at points or blocks different from those at which it has been observed. In the context of block ...Cited by: 218
https://www.researchgate.net/publication/10601008_On_the_Change_of_Support_Problem_for_Spatio-Temporal_Data
A key issue to address in synthesizing spatial data with variable-support in spatial analysis and modeling is the change-of-support problem. We present an approach for solving the change-of ...
https://paperity.org/p/38574580/on-the-change-of-support-problem-for-spatio-temporal-data
In practice, spatial data are sometimes collected at points (i.e. point-referenced data) and at other times are associated with areal units (i.e. block data). The change of support problem is concerned with inference about the values of a variable at points or blocks different from those at which it …Cited by: 218
https://www.researchgate.net/publication/2940452_Spatio-Temporal_Database_Support_for
These applications typically run on top of a relational DBMS and manage spatio-temporal data either using the DBMS, which provides little support, or employ the services of a proprietary system ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.5387
support problem spatio-temporal data environmental health science nsf grant dm introduction consider atlanta ozone dataset areal unit simulation-based model fitting second author first author univariate variable third author national institute james mulholland modifiable areal unit problem environmental risk analysis bayesian method paige ...
https://www.deepdyve.com/lp/oxford-university-press/on-the-change-of-support-problem-for-spatio-temporal-data-0YvEZhxP44
Mar 01, 2001 · On the change of support problem for spatio-temporal data On the change of support problem for spatio-temporal data Alan E. Gelfand, Li Zhu, Bradley P. Carlin 2001-03-01 00:00:00 In practice, spatial data are sometimes collected at points (i.e. point-referenced data) and at other times are associated with areal units (i.e. block data).
https://arxiv.org/pdf/1508.01451.pdf
allow one to perform statistical inference on a spatio-temporal support that differs from the support of the data (either in space, time, or space and time) is referred to as change of support (COS). In this setting, we let the survey data’s spatio-temporal support (e.g., census tracts and a 5-year time
https://era.library.ualberta.ca/items/5c518481-46b8-4bb4-ab13-b14ebea1c273/view/426796e1-a998-4ade-bb29-c8aafda80f91/TR04-21.pdf
spatio-temporal domain, including a discussion of spatio-temporal data generation and modeling, the types of spatio-temporal queries that exist, and an overview of several spatio-temporal access methods that have been proposed. Section 3 pro-vides background on what options for RDBMS support of spatio-temporal data exist.Cited by: 22
https://www.groundai.com/project/spatio-temporal-change-of-support-with-application-to-american-community-survey-multi-year-period-estimates/2
We present hierarchical Bayesian methodology to perform spatio-temporal change of support (COS) for survey data with Gaussian sampling errors. This methodology is motivated by the American Community Survey (ACS), which is an ongoing survey administered by the U.S. Census Bureau that provides timely information on several key demographic variables. The ACS has published 1-year, 3-year, and 5 ...
https://datascience.codata.org/articles/10.2481/dsj.2.175/galley/215/download/
Data Science Journal, Volume 2, 19 November 2003 175 SPATIO-TEMPORAL DATABASE SUPPORT FOR LONG-PERIOD SCIENTIFIC DATA M Breunig1*, AB Cremers2, S Shumilov2 and J Siebeck 2 *1Institute of Environmental Sciences, University of Vechta, P.O. Box 1553, 49364 Vechta, Germany Email: [email protected]
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