Fitting limit lines (envelope curves) to spreads of geoenvironmental data. (April 2022)
- Record Type:
- Journal Article
- Title:
- Fitting limit lines (envelope curves) to spreads of geoenvironmental data. (April 2022)
- Main Title:
- Fitting limit lines (envelope curves) to spreads of geoenvironmental data
- Authors:
- Carling, Paul A
Jonathan, Philip
Su, Teng - Abstract:
- Geoscientists frequently are interested in defining the overall trend in x - y data clouds using techniques such as least-squares regression. Yet often the sample data exhibits considerable spread of y -values for given x -values, which is itself of interest. In some cases, the data may exhibit a distinct visual upper (or lower) 'limit' to a broad spread of y -values for a given x -value, defined by a marked reduction in concentration of y -values. As a function of x -value, the locus of this 'limit' defines a 'limit line', with no (or few) points lying above (or below) it. Despite numerous examples of such situations in geoscience, there has been little consideration within the general geoenvironmental literature of methods used to define limit lines (sometimes termed 'envelope curves' when they enclose all data of interest). In this work, methods to fit limit lines are reviewed. Many commonly applied methods are ad-hoc and statistically not well founded, often because the data sample available is small and noisy. Other methods are considered which correspond to specific statistical models offering more objective and reproducible estimation. The strengths and weaknesses of methods are considered by application to real geoscience data sets. Wider adoption of statistical models would enhance confidence in the utility of fitted limits and promote statistical developments in limit fitting methodologies which are likely to be transformative in the interpretation of limits.Geoscientists frequently are interested in defining the overall trend in x - y data clouds using techniques such as least-squares regression. Yet often the sample data exhibits considerable spread of y -values for given x -values, which is itself of interest. In some cases, the data may exhibit a distinct visual upper (or lower) 'limit' to a broad spread of y -values for a given x -value, defined by a marked reduction in concentration of y -values. As a function of x -value, the locus of this 'limit' defines a 'limit line', with no (or few) points lying above (or below) it. Despite numerous examples of such situations in geoscience, there has been little consideration within the general geoenvironmental literature of methods used to define limit lines (sometimes termed 'envelope curves' when they enclose all data of interest). In this work, methods to fit limit lines are reviewed. Many commonly applied methods are ad-hoc and statistically not well founded, often because the data sample available is small and noisy. Other methods are considered which correspond to specific statistical models offering more objective and reproducible estimation. The strengths and weaknesses of methods are considered by application to real geoscience data sets. Wider adoption of statistical models would enhance confidence in the utility of fitted limits and promote statistical developments in limit fitting methodologies which are likely to be transformative in the interpretation of limits. Supplements, a spreadsheet and references to software are provided for ready application by geoscientists. … (more)
- Is Part Of:
- Progress in physical geography. Volume 46:Number 2(2022)
- Journal:
- Progress in physical geography
- Issue:
- Volume 46:Number 2(2022)
- Issue Display:
- Volume 46, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 46
- Issue:
- 2
- Issue Sort Value:
- 2022-0046-0002-0000
- Page Start:
- 272
- Page End:
- 290
- Publication Date:
- 2022-04
- Subjects:
- Limit lines -- envelope curves -- trimming method -- quantile regression -- non-parametric maximum likelihood methods
Physical geography -- Periodicals
910.02 - Journal URLs:
- http://journals.sagepub.com/home/ppg ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/03091333211059995 ↗
- Languages:
- English
- ISSNs:
- 0309-1333
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20101.xml