Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

about

Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology.Mapping watershed integrity for the conterminous United States.Performance of National Maps of Watershed Integrity at Watershed Scales

P2860

Q38739138-C7233BA4-6382-4916-B4E4-B29BDB714461 Q52599770-E35B6545-E23C-4CE7-9D73-3E016AC7D60E Q57518936-73D076F8-CA7C-4D4B-8716-995343360A25

P2860

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

Item

http://www.wikidata.org/entity/Q48035079

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@en

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@nl

type

Item

label

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@en

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@nl

prefLabel

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@en

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@nl

P1476

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

@en

P2093

Anthony R Olsen

http://www.w3.org/2001/XMLSchema#string

Darren J Thornbrugh

http://www.w3.org/2001/XMLSchema#string

Eric W Fox

http://www.w3.org/2001/XMLSchema#string

Marc H Weber

http://www.w3.org/2001/XMLSchema#string

Ryan A Hill

http://www.w3.org/2001/XMLSchema#string

Scott G Leibowitz

http://www.w3.org/2001/XMLSchema#string

P2860

Random Forests

Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs.

A bioassessment approach for mid-continent great rivers: the Upper Mississippi, Missouri, and Ohio (USA).

High-resolution global maps of 21st-century forest cover change.

Correspondence of biological condition models of California streams at statewide and regional scales.

Conservation. Why should we care about temporary waterways?

An experimental study of the intrinsic stability of random forest variable importance measures.

Predicting the biological condition of streams: use of geospatial indicators of natural and anthropogenic characteristics of watersheds.

Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology.

Importance of Natural and Anthropogenic Environmental Factors to Fish Communities of the Fox River in Illinois.

P304

2397-2415

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1002/EAP.1617

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-09-04T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28871655

http://www.w3.org/2001/XMLSchema#string

P932

5796808

http://www.w3.org/2001/XMLSchema#string

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

about

P2860

P2860

Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P698

P932