Spatial scaling of soil salinity indices along a temporal coastal reclamation area transect in China using wavelet analysis

Identifying the Main Factors Contributing to the Spatial Variability of Soil Saline–Sodic Properties in a Reclaimed Coastal Area

“…The author argued that a location that was reclaimed more recently had stronger soil heterogeneity and higher CVs than an area that was reclaimed earlier. With increasing time since reclamation, human activities resulted in the development of physical and chemical properties of soils that were more homogeneous (She et al, 2016). These results also indicated that reclamation time could influence the heteroscedasticity of soil salinity and alkalinity.…”

The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China

“…The data input for XWT and WTC required spatially continuous data. XWT and WTC sampling line extraction should take into full account the natural conditions and the law of land use change in the study area, and include all kinds of land use types possible [47,48]. Therefore, the degree of land use diversity was used to measure the complexity of land use structure in the area.…”

Seasonal to interannualvariability of Chlorophyll-<i>a</i> and sea surface temperature in the Yellow Sea using MODIS satellite datasets

“…The CWT is a tool for decomposing the non-stationary time series at different spatial or time scales into the time-frequency space by translation of the mother wavelet and by analyzing localized variations of power (Messié and Chavez, 2011). The mother wavelets used in this study were the "Morlet" wavelets, which is used commonly in geophysics, because it provides a good balance between time and frequency localization (Grinsted et al, 2004;Hu and Si, 2016b;She et al, 2016). The CWT can localize the signal in both the time and frequency domains, but the classical Fourier transform was able to localize the signal only in the frequency domain with no localization in time (Olita et al, 2011).…”