By Qiming Zhou, Brian Lees, Guo-an Tang
Terrain research has been an lively research box for years and attracted examine reviews from geographers, surveyors, engineers and desktop scientists. With the quick development of Geographical info procedure (GIS) know-how, quite the institution of excessive solution electronic Elevation types (DEM) at nationwide point, the problem is now interested by offering justifiable socio-economical and environmental merits. The contributions during this e-book signify the state-of-the-art of terrain research tools and strategies in components of electronic illustration, morphological and hydrological types, uncertainty and functions of terrain research.
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Extra resources for Advances in Digital Terrain Analysis (Lecture Notes in Geoinformation and Cartography) (Lecture Notes in Geoinformation and Cartography)
Geomorphometry is a science of quantitative land surface analysis (Pike 1995). The approaches under consideration may be attributed to general geomorphometry described by Evans (1972) as follows: ‘General geomorphometry as a whole provides a basis for the quantitative comparison even of qualitatively different landscapes, and it can adapt methods of surface analysis used outside geomorphology. Specific geomorphometry is more limited; it involves more arbitrary decisions, and leaves more room for subjectivity in the quantification of its concepts’.
In fact, it is not clear which landforms are in areas with no elevation data, so that attempts to restore out-of-scale landforms do not produce information on them. In such cases, one may replace w0 calculated from Equation (6) with some greater value. 3 Regional Topographic Attributes To calculate derivatives or finite differences at a given point, one needs only a restricted vicinity of this point, so that the formula Variable = f(p,q,r,s,t) may represent only local (derivative-based) topographic variables.
The correlation between the attributes of the mountain objects is of great significance and might be explored either by computing correlation coefficients, or by assuming the linear regression model (Miliaresis and Iliopoulou 2004). 1*G Such models are of great significance since they might prove to be quantitative indicators of landscape development and tools for estimating the intensity of processes. Quantification of Terrain Processes 23 Figure 8. Spatial arrangement of the clusters derived by the centroid method in Zagros Ranges (Miliaresis and Iliopoulou 2004).