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Spatial Transition Analysis (STA) can assist in defining spatially explicit and evidence-based targets for energy transition.
In addition, the spatial transition trends for farmland were significant.
A highly accurate algorithm has been developed to study the process of spatial transition to turbulence.
Road density trend analysis is often too coarse and assumes homogeneous landscapes, whereas spatial transition probability analysis captures landscape variability typical of ecoregions.
However, Carle and Fogg (1997) introduced continuous-lag Markov chain models, which were actually a joint modelling method of spatial transition probabilities for providing transition probability parameters to transition probability-based indicator geostatistics (TPROGS) (Carle and Fogg 1996).
The elevations of 1000 m and 500 m marked two important lines in the spatial transition of farmland, representing inflection points for the PCFA change trend and PCFA growth rate, respectively.
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Stairs, spatial transitions, shocks and surprises were Stirling's forte.
Spatial transitions from compression to expansion leave scant room for museum fatigue.
The CA Markov model is one of the spatial transition-based models whereby the current trends of land use/cover evolution from "t − 1" to "t" is used to project probabilities of land use and cover changes for the future date "t + 1" (Behera et al. 2012; Eastman 2012; Houet and Hubert-Moy 2006).
ULBP introduces a uniformity measure U which corresponds to the number of spatial transitions (between [ 0,1]) in the pattern.
Accordingly, from Fig. 4, it is possible to see how multiple quasilinear paths can explain a single trajectory in terms of spatial transitions.
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