Spatial statistical analysis of tree deaths using airborne digital imagery

International Journal of Applied Earth Observation and Geoinformation

Volumn 21, Issue 1, 2013, Pages 418-426

  Chang, Ya Mei ^a,b   Baddeley, Adrian ^a,c   Wallace, Jeremy ^a   Canci, Michael ^d  

^a CSIRO   (Australia)

^b TAMKANG UNIVERSITY   (Taiwan)

^c UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^d Water Corporation Leederville   (Australia)

Author keywords

Covariate effect; Influence; Kernel estimation; Leverage; Logistic regression; Morphological image analysis; Partial residual; Point process; Spatial point pattern; Tree location detection

Indexed keywords

AIRBORNE SENSING; DIGITAL IMAGE; ESTIMATION METHOD; IMAGE ANALYSIS; SPATIAL ANALYSIS; STATISTICAL ANALYSIS; TREE;

EID: 84872824032     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.04.006     Document Type: Article

References (46)

1. Agterberg, F., 1974. Automatic contouring of geological maps to detect target areas for mineral exploration. Journal of the International Association for Mathematical Geology 6, 373-395.
2. Baddeley, A., Berman, M., Fisher, N., Hardegen, A., Milne, R., Schuhmacher, D., Shah, R., Turner, R., 2010. Spatial logistic regression and change-of-support for Poisson point processes. Electronic Journal of Statistics 4, 1151-1201, http://dx.doi.org/10.1214/10-EJS581.
3. Baddeley, A., Chang, Y., Song, Y. Leverage and influence diagnostics for spatial point processes. Scandinavian Journal of Statistics, in press.
4. Baddeley, A., Chang, Y., Song, Y., Turner, R. Nonparametric estimation of the dependence of a spatial point process on a spatial covariate. Statistics and its Interface, in press.
5. Baddeley, A., Chang, Y.M., Song, Y., Turner, R. Residual diagnostics for covariate effects in spatial point process models, submitted for publication.
6. Baddeley, A., Turner, R., 2000. Practical maximum pseudolikelihood for spatial point patterns (with discussion). Australian and New Zealand Journal of Statistics 42, 283-322.
7. Baddeley, A., Turner, R., 2005. Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 12, 1-42, ISSN: 1548-7660, www.jstatsoft.org.
8. Barnard, G., 1963. Contribution to discussion of "The spectral analysis of point processes" by M.S. Bartlett. Journal of the Royal Statistical Society Series B 25, 294.
9. Berman, M., Diggle, P., 1989. Estimating weighted integrals of the second-order intensity of a spatial point process. Journal of the Royal Statistical Society Series B 51, 81-92.
10. Berman, M., Turner, R., 1992. Approximating point process likelihoods with GLIM. Journal of the Royal Statistical Society Series C 41, 31-38.
11. Bithell, J., 1990. An application of density estimation to geographical epidemiology. Statistics in Medicine 9, 691-701.
12. Caccetta, P., Collings, S., Hingee, K., McFarlane, D., Wu, X., 2011. Fine-scale monitoring of complex environments using remotely sensed aerial, satellite, and other spatial data. In: 2011 International Symposium on Image and Data Fusion (ISIDF), pp. 1-5, http://dx.doi.org/10.1109/ISIDF.2011.6024217.
13. Canci, M., Wallace, J., Mattiske, E., Malcolm, A., 2006. Evaluation of airborne multispectral imagery for monitoring the effect of falling groundwater levels on native vegetation. In: The 13th Australasian Remote Sensing and Photogrammetry Conference Proceedings.
14. Copas, J.B., 1983. Plotting p against x. Journal of the Royal Statistical Society Series C (Applied Statistics) 32, 25-31.
15. Cressie, N., 1991. Statistics for Spatial Data. John Wiley and Sons, New York.
16. Davidson, W., 1995. Hydrogeology and groundwater resources of the Perth region, Western Australia. Bulletin 142. Geological Survey of Western Australia, Available at: geodocs.doir.wa.gov.au.
17. Davidson, W., Yu, X., 2008. Perth Regional Aquifer Modelling System (PRAMS) model development: hydrogeology and groundwater modelling. Hydrological Record Series, Report HG 20. Department of Water, State Government of Western Australia, Available at: water.wa.gov.au.
18. Diggle, P., 1985. A kernel method for smoothing point process data. Journal of the Royal Statistical Society Series C (Applied Statistics) 34, 138-147.
19. Diggle, P., 2003. Statistical Analysis of Spatial Point Patterns, 2nd edition. Hodder Arnold, London.
20. Diggle, P., Rowlingson, B., 1994. A conditional approach to point process modelling of elevated risk. Journal of the Royal Statistical Society Series A (Statistics in Society), 433-440.
21. Eamus, D., Froend, R., Loomes, R., Hose, G., Murray, B., 2006. A functional methodology for determining the groundwater regime needed to maintain the health of groundwater-dependent vegetation. Australian Journal of Botany 54, 97-114.
22. Elliott, P., Wakefield, J., Best, N., Briggs, D. (Eds.), 1999. Disease and Exposure Mapping. Oxford University Press, Oxford.
23. Elliott, P., Wakefield, J., Best, N., Briggs, D. (Eds.), 2000. Spatial Epidemiology: Methods and Applications. Oxford University Press, Oxford.
24. Fortin, M., Dale, M., 2005. Spatial Analysis: A Guide for Ecologists. Cambridge University Press, Cambridge, UK.
25. Groom, P., Froend, R., Mattiske, E., 2000. Impact of groundwater abstraction on a Banksia woodland, Swan coastal plain, Western Australia. Ecology and Organismal Biology 1, 117-124.
26. Guan, Y., 2008. On consistent nonparametric intensity estimation for inhomogeneous spatial point processes. Journal of the American Statistical Association 103, 1238-1247.
27. Guan, Y., Wang, H., 2010. Sufficient dimension reduction for spatial point processes directed by Gaussian random fields. Journal of the Royal Statistical Society Series B 72, 367-387.
28. Hazelton, M., Davies, T., 2009. Inference based on kernel estimates of the relative risk function in geographical epidemiology. Biometrical Journal 51, 98-109.
29. Hope, A., 1968. A simplified Monte Carlo significance test procedure. Journal of the Royal Statistical Society Series B 30, 582-598.
30. Illian, J., Penttinen, A., Stoyan, H., Stoyan, D., 2008. Statistical Analysis and Modelling of Spatial Point Patterns. John Wiley and Sons, Chichester.
31. Kelsall, J., Diggle, P., 1995. Kernel estimation of relative risk. Bernoulli 1, 3-16.
32. Kelsall, J., Diggle, P., 1998. Spatial variation in risk of disease: a nonparametric binary regression approach. Applied Statistics 47, 559-573.
33. Keshava, N., Kerekes, J., Manolakis, D., Shaw, G., 2000. An algorithm taxonomy for hyperspectral unmixing. Proceedings of SPIE 4049, 42-46.
34. Mitchell, D., Williams, K., Desmond, A., 2003. Swan coastal plain 2. In: May, J., McKenzie, N. (Eds.), A Biodiversity Audit of Western Australia's 53 Biogeographical Subregions in 2002. Department of Conservation and Land Management, Perth, WA, pp. 606-623.
35. Nadaraya, E., 1964. On estimating regression. Theory of Probability and its Applications 9, 141-142.
36. Perry, J., Liebhold, A., Rosenberg, M., Dungan, J., Miriti, M., Jakomulska, A., Citron-Pousty, S., 2002. Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data. Ecography 25, 578-600.
37. Shearer, B., Dillon, M., 1996. Impact and disease centre characteristics of phytophthora cinnamomi infestations of Banksia woodlands on the Swan coastal plain, Western Australia. Australian Journal of Botany 44, 79-90.
38. Soille, P., 2003. Morphological Image Analysis: Principles and Applications. Springer, New York.
39. Stoyan, D., Penttinen, A., 2000. Recent applications of point process methods in forestry statistics. Statistical Science 15, 61-78.
40. Vincent, L., Soille, P., 1991. Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 583-598.
41. Vogwill, R., McHugh, S., Yu, X., O'Boy, C., 2007. Sensitivity of the watertable in the Perth region to changes in climate, land use and groundwater abstraction using the PRAMS model: stage 2. Hydrogeological Report Series HG21. Department of Water, State Government of Western Australia.
42. Wallace, J.F., Canci, M., Wu, X., Baddeley, A., 2008. Monitoring native vegetation on an urban groundwater supply mound using airborne digital imagery. Journal of Spatial Science 53, 63-73.
43. Water and Rivers Commission, 2001. Section 46 Review of Environmental Conditions on Management of the Gnangara and Jandakot Mounds: Stage I Report to the Environmental Protection Authority, http://www.water.wa.gov.au/PublicationStore/first/13483.pdf.
44. Water Authority of Western Australia, 1992. Gnangara Mound Vegetation Stress Stud. Report WG 127. Government of Western Australia.
45. Watson, G., 1964. Smooth regression analysis. Sankhya A 26, 359-372.
46. Wilson, B., Valentine, L. (Eds.), 2009. Biodiversity Values and Threatening Processes of the Gnangara Groundwater System. Gnangara Sustainability Strategy. Department of Environment and Conservation, Western Australia www.water.wa.gov.au/sites/gss/reports.html.