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

Animosity

書目名稱Earth Surface Systems影響因子(影響力)




書目名稱Earth Surface Systems影響因子(影響力)學(xué)科排名




書目名稱Earth Surface Systems網(wǎng)絡(luò)公開度




書目名稱Earth Surface Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Earth Surface Systems被引頻次




書目名稱Earth Surface Systems被引頻次學(xué)科排名




書目名稱Earth Surface Systems年度引用




書目名稱Earth Surface Systems年度引用學(xué)科排名




書目名稱Earth Surface Systems讀者反饋




書目名稱Earth Surface Systems讀者反饋學(xué)科排名

慢跑

杠桿

圓錐

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

擦試不掉

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.

小隔間

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

小隔間

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

新鮮

,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.