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http://dx.doi.org/10.5351/KJAS.2004.17.3.403

Space Time Data Analysis for Greenhouse Whitefly  

박진모 (한국외국어대학교 통계학과)
신기일 (한국외국어대학교 통계학과)
Publication Information
The Korean Journal of Applied Statistics / v.17, no.3, 2004 , pp. 403-418 More about this Journal
Abstract
Recently space-time model in spatial data analysis is widly used. In this paper we applied this model to analysis of greenhouse whitefly. For handling time component, we used ARMA model and autoregressive error model and for outliers, we adapted Mugglestone's method. We compared space-time models and geostatistic model with MSE and MAPE.
Keywords
ARMA model; Outlier cleaner;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Lee, J.-H. and Shin, K-I. (2004). On the efficiency of outlier cleaners in spatial data analysis. Journal of Korean Applied Statistics, 17, 2, 327-336   과학기술학회마을   DOI   ScienceOn
2 Nierel, R., Moira. and Mugglestone, M. A. (1998). Outlier-Robust spectral estimation for spatial lattice process. Communications and Statistics: Theory and Methods, 27, 3095-3111   DOI   ScienceOn
3 Mugglestone, M. A., Baenet, V., Nirel, R. and Murray, D. A. (2000). Modeling and analysing outlier in spatial lattice data. Mathematical and Computer modeling, 32, 1-10   DOI   ScienceOn
4 Park, J-J. Shin, K-I. and Cho, K. (2004). Selection of appropriate data transformation for analyzing geostatistics: Case study with data of greenhouse white flies on greenhouse cherry tomatoes. Journal of Asia-Pacific Entomology, To appear
5 Taylor, L. R. (1961) Aggregation, variance and the mean. Nature, 189, 732-735   DOI
6 Tobin, P. C., and Bjornstad O. N. (2003) Spatial dynamics and cross-correlation in a transient predator-prey systern. Journal of Animal Ecology, 72, 460-467   DOI   ScienceOn
7 Wikle, C. K. and Cressie, N. (1999). A dimension reduction approach to space-time Kalman filtering. Biometrika, 86, 815-829   DOI   ScienceOn
8 Cressie, N. (1993). Statistics for Spatial Data. John Wiley, Sons, Inc
9 Cressie, N. and Hawkins, D. M. (1980). Robust estimation of the variogram. I. Mathematical Geology, 12, 2, 115-125   DOI
10 Ettema, C. H., Rathbun, S. L. and Coleman, D. C. (2000). On spatiotemporal patchness and the coexistence of five species of Chronogaster(Nematoda: Chronogasteridae) in a riparian wetland. Oecologia, 125, 444-452   DOI   ScienceOn
11 Genton, M. C. (1998). Highly robust variogram estimation. Mathematical Geology, 30, 2, 213-221   DOI   ScienceOn
12 Hamilton, J. D. (1994). Time Series Analyssis. Princeton University Press
13 Huang, H.-C. and Cressie, N. (1996). Spatio-Temporal prediction of snow water equivalent using the Kalman filter. Computational Statistics and Data Analysis, 22, 159-175   DOI   ScienceOn