Completing an Ecosystem Classification System for Nova Scotia

2011 ◽  
Vol 31 (1) ◽  
pp. 92-96 ◽  
Author(s):  
Robert P. Cameron ◽  
David Williams
Keyword(s):  
Nova Scotia ◽  
Classification System ◽  
Ecosystem Classification

An ecosystem classification system based on remote sensor information in China

2015 ◽  
Vol 35 (2) ◽  
Author(s):  
欧阳志云 OUYANG Zhiyun ◽  
张路 ZHANG Lu ◽  
吴炳方 WU Bingfang ◽  
李晓松 LI Xiaosong ◽  
徐卫华 XU Weihua ◽  
...  
Keyword(s):  
Classification System ◽  
Remote Sensor ◽  
Ecosystem Classification ◽  
Sensor Information

Hydrologic assessment of a small maritime hydrometric monitoring network using a combined inductive-deductive process-informed catchment classification system

2020 ◽  
Author(s):  
Lindsay Johnston ◽  
Dewey Dunnington ◽  
Mark Greenwood ◽  
Barret Kurylyk ◽  
Rob Jamieson
Keyword(s):  
Nova Scotia ◽  
Decision Tree ◽  
Classification System ◽  
Monitoring Network ◽  
Primary Source ◽  
Active Monitoring ◽  
Explanatory Variables ◽  
Hydrologic Variability ◽  
Catchment Function

<p>The National Hydrometric Program, operated by the Water Survey of Canada, is the primary source of surface water quantity data in Canada. The network is cost-shared between the federal and provincial governments, and decisions relating to station placement are made according to both federal and provincial interests. Nova Scotia is a small maritime province in Atlantic Canada that is roughly one third the size of England and Wales and has a diverse climate and geology. The Nova Scotia hydrometric monitoring network currently consists of just 31 stations. The overall objective of this study was to determine how well the current network captures the level of hydrologic variability expected in the province using a regional catchment classification scheme. To accomplish this, we developed a combined inductive-deductive catchment classification system and applied it to the province’s active monitoring network and ungauged major watersheds. Initially, hydrologic signatures were used to quantify the catchment function of 47 long-term gauged catchments and to cluster similarly behaving catchments. We identified five generalized flow classes and then attempted to replicate this classification using a deductive-based decision tree framework with physiographic and meteorological explanatory variables. The validated decision tree was used to classify the active hydrometric network and 250+ major watersheds in the province. The network was assessed to determine how well it covered the expected hydrologic variability in the major watersheds across the province. The decision tree proved to be a useful tool for understanding the current network’s coverage and could also be easily applied by practitioners to identify appropriate donor catchments for ungauged watersheds.</p>

International Research and Variation in Views of Ethnicity

2012 ◽  
Vol 2 (2) ◽  
pp. 66-72
Author(s):  
Ella Inglebret ◽  
Amy Skinder-Meredith ◽  
Shana Bailey ◽  
Carla Jones ◽  
Ashley France
Keyword(s):  
United States ◽  
Classification System ◽  
International Research ◽  
The United States ◽  
Research Articles ◽  
Journal Articles ◽  
Research Participants ◽  
The Past ◽  
International Scale ◽  
Publication Patterns

The authors in this article first identify the extent to which research articles published in three American Speech-Language-Hearing Association (ASHA) journals included participants, age birth to 18 years, from international backgrounds (i.e., residence outside of the United States), and go on to describe associated publication patterns over the past 12 years. These patterns then provide a context for examining variation in the conceptualization of ethnicity on an international scale. Further, the authors examine terminology and categories used by 11 countries where research participants resided. Each country uses a unique classification system. Thus, it can be expected that descriptions of the ethnic characteristics of international participants involved in research published in ASHA journal articles will widely vary.

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