Author: Wang, Jin-Feng; Christakos, George; Han, Wei-Guo; Meng, Bin
Title: Data-driven exploration of ‘spatial pattern-time process-driving forces’ associations of SARS epidemic in Beijing, China Document date: 2008_4_26
ID: 2nko37oo_16
Snippet: We measured the degree of global spatial data clustering using Moran's I M coefficient (Appendix 4). A positive value of the coefficient meant that adjacent districts had similar values, whereas a negative value indicated that adjacent districts were dissimilar. A temporal measure of spatial clustering was obtained by calculating this coefficient on a daily basis. This time series was then filtered using a discrete wavelet transform implemented b.....
Document: We measured the degree of global spatial data clustering using Moran's I M coefficient (Appendix 4). A positive value of the coefficient meant that adjacent districts had similar values, whereas a negative value indicated that adjacent districts were dissimilar. A temporal measure of spatial clustering was obtained by calculating this coefficient on a daily basis. This time series was then filtered using a discrete wavelet transform implemented by the MatLab computer library (http://www.mathworks.com/). In this way, the time series was decomposed into low-frequency components (reflecting the fundamental trend of a time series) and highfrequency components (reflecting noise caused by random factors).
Search related documents:
Co phrase search for related documents- coefficient positive value and positive value: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
- daily basis and time series: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
Co phrase search for related documents, hyperlinks ordered by date