# Rejoinder on: A general science-based framework for dynamical spatio-temporal models

@article{Wikle2010RejoinderOA, title={Rejoinder on: A general science-based framework for dynamical spatio-temporal models}, author={Christopher K. Wikle and Mevin B. Hooten}, journal={TEST}, year={2010}, volume={19}, pages={466-468} }

Spatio-temporal statistical models are increasingly being used across a wide variety of scientific disciplines to describe and predict spatially-explicit processes that evolve over time. Correspondingly, in recent years there has been a significant amount of research on new statistical methodology for such models. Although descriptive models that approach the problem from the second-order (covariance) perspective are important, and innovative work is being done in this regard, many real-world…

## 9 Citations

A Four Dimensional Spatio-Temporal Analysis of an Agricultural Dataset

- Environmental SciencePloS one
- 2015

It is found that response cropping is generally more effective than long fallow cropping in reducing soil moisture at the depths considered, and if the authors wish to reduce the possibility of deep drainage and increased groundwater salinity, the recommended cropping system is response Cropping.

A Constructive Spatio-Temporal Approach to Modeling Spatial Covariance

- Environmental Science
- 2015

I present an approach for modeling areal spatial covariance by considering the stationary distribution of a spatio-temporal Markov random walk. In the areal data case, this stationary distribution…

Hierarchical nonlinear, multivariate, and spatially-dependent time-frequency functional methods

- Mathematics
- 2013

Notions of time and frequency are important constituents of most scientific inquiries, providing complimentary information. In an era of ``big data," methodology for analyzing functional and/or image…

Temporal variation and scale in movement-based resource selection functions

- Environmental Science
- 2013

Inference for Size Demography From Point Pattern Data Using Integral Projection Models

- Computer ScienceJournal of agricultural, biological, and environmental statistics
- 2012

The approach views the observed size distribution at a given time as a point pattern over a bounded interval, and builds a three-stage hierarchical model to infer about the dynamic intensities used to explain the observed point patterns.

Bayesian sediment transport model for unisize bed load

- Computer Science
- 2011

This approach provides a means to rigorously estimate model parameter distributions, such as critical shear, given observations of sediment transport; provides probabilistically based predictions that are robust and easily interpretable; facilitates conceptual model discrimination; and incorporates expert judgment into model inference and predictions.

Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling

- MedicinePLoS neglected tropical diseases
- 2020

It is found that control was generally more effective when implemented in periods of relatively low mosquito mortality (when mosquito abundance was also generally low) and correlations suggest that mosquito control is most effective in situations in which transmission is already limited by mosquito abundance.

2 A Continuous Space-Time Model : The Advection-Diffusion SPDE

- Environmental Science
- 2013

Increasingly larger data sets of processes in space and time ask for statistical models and methods that can cope with such data. We show that solutions of stochastic advectiondiffusion partial…

Disentangling spatio-temporal processes in a hierarchical system: a case study in fisheries discards

- Environmental Science
- 2013

A hierarchical spatial predictive process (PP) combined with a separable temporal PP to disentangle and describe those overlapping processes in one very frequent setting in ecology and evolution: multilevel spatio-temporally indexed data.

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