The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Three-Stage Iterative Procedure for Space-Time Modeling
Abstract
A three-stage iterative procedure for building space-time models is presented. These models fall into the general class of STARIMA models and are characterized by autoregressive and moving average terms lagged in both time and space. This model class collapses into the ARIMA model class in the absence of spatial correlation. The theoretical properties of STARIMA models are presented and the model building procedure is described and illustrated by a substantive example.
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Citations
Cites
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
Cited by
Geospatial big data handling theory and methods: A review and research challenges
Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.10.012 · Cited by 749
Szummer, M., & Picard, R. W. (2002) · Proceedings of 3rd IEEE International Conference on Image Processing · doi:10.1109/icip.1996.560871 · Cited by 316
Metadata
- Authors
- Pfeifer, P. E., & Deutsch, S. J.
- Venue
- Technometrics
- Publisher
- JSTOR
- Published
- 1980-02
- Volume
- 22
- Issue
- 1
- Pages
- 35
- ISSN
- 0040-1706 (ISSN-L)
- OpenAlex
- W2073488975
- Cited by
- 351
- References
- 1
- FWCI
- 27.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Three-Stage Iterative Procedure for Space-Time Modeling. https://app.cochat.ai/papers/10.2307/1268381
- The paper
- Pfeifer, P. E., & Deutsch, S. J. (1980). A Three-Stage Iterative Procedure for Space-Time Modeling. Technometrics. https://doi.org/10.2307/1268381
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
