Various methods of classifying stream networks are examined in terms of their attendant information losses. Grouping networks according to their mean source height scores well in this respect because it retains a considerable amount of the original topologic detail present in each individual topologically distinct channel network. Stream set values determine the structural properties of the network and the degree to which a given network is ‘compact’ or ‘lineated.’ Because of difficulties in interpretation, tests of random topology hypotheses are best conducted on networks sampled at a constant magnitude. A means of comparing the topologic structure of the main stem of two or more networks is developed, based upon the absolute limits and the expectation of the parameter mean source height.
Water Resources Research – Wiley
Published: Apr 1, 1975
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera