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- W1511888926 endingPage "36" @default.
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- W1511888926 abstract "This chapter intends to provide a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design. An important clarification that needs to be made before thinking about spati(o-tempor)al design is whether to assume the randomness of the observations to stem from stochastic disturbances or from the sampling process itself. This leads to the distinction of so-called model-based and design-based (probability-based) inferences and their respective design procedures. Geostatistical research has typically analyzed random fields, in which every spatio-temporal location can be seen as a point on Rd × R. Controlled Vocabulary Terms sampling; Sampling design; statistical measures; stochastic processes; time series" @default.
- W1511888926 created "2016-06-24" @default.
- W1511888926 creator A5061312854 @default.
- W1511888926 creator A5083466701 @default.
- W1511888926 date "2012-10-11" @default.
- W1511888926 modified "2023-10-17" @default.
- W1511888926 title "Collecting Spatio‐Temporal Data" @default.
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