Titlebook: Earth Surface Systems; Richard J. Huggett Book 1985 Springer-Verlag Berlin Heidelberg 1985 Earth.Oxide.Sediment.Systems.soil

Animosity

书目名称Earth Surface Systems影响因子(影响力)




书目名称Earth Surface Systems影响因子(影响力)学科排名




书目名称Earth Surface Systems网络公开度




书目名称Earth Surface Systems网络公开度学科排名




书目名称Earth Surface Systems被引频次




书目名称Earth Surface Systems被引频次学科排名




书目名称Earth Surface Systems年度引用




书目名称Earth Surface Systems年度引用学科排名




书目名称Earth Surface Systems读者反馈




书目名称Earth Surface Systems读者反馈学科排名

慢跑

杠杆

圆锥

Statistical Modelsh sciences are many and varied. They range from simple techniques, such as the chi-square test, Student’s .-test, and the more versatile analysis of variance, all of which are used in testing the significance of differences between class data; through the more sophisticated techniques of regression

擦试不掉

Deterministic Models of Slopes and Sedimentsn to the elucidation of questions of denudation, and at the same time an exemplification of the application of mathematics to a geological problem” in the form of a deductive argument as to the form of the profile formed behind the talus which accumulates as a chalk cliff in a quarry disintegrates.

小隔间

Dynamical Systems Modelsxtent energy, transfers and transformations in a variety of Earth surface systems. Their applications range from global models of geochemical cycles, through nutrient cycles in different biomes and regions, to models of water and solute dynamics in drainage basins, lakes, and soils. They also provid

小隔间

Conclusion and Prospectrs but far from clear to those who reason on more “traditional” lines. Critics of mathe-matical models are quick to point out that, owing to oversimplification and geomorphological naivety, modelling can be of little use in understanding how real landscapes develop. Büdel (1982) is sceptical of quan

Aboveboard

吊胃口

Book 1985the systems approach do so in the belief that it is a powerful and precise method of study. Scholars who try to shoot it down fail to see any advantage in it; indeed, many deem it periIicious. Van Dyne (1980, p. 889) records a facetious comment he once heard, the gist of which ran: "In instances whe

新鲜

,Artificial Intelligence—Machine Learning, series along hillside slopes and along rivers, and series of river channel form variables. Time series of interest include average annual values of river flow, temperature, precipitation, tree-ring indices, and windvarve thickness and seasonal series of temperature, precipitation, and streamflow.