Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/16776
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Markou, M. T. | en |
dc.contributor.author | Bartzokas, A. | en |
dc.contributor.author | Kambezidis, H. D. | en |
dc.date.accessioned | 2015-11-24T18:33:40Z | - |
dc.date.available | 2015-11-24T18:33:40Z | - |
dc.identifier.issn | 0169-8095 | - |
dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/16776 | - |
dc.rights | Default Licence | - |
dc.subject | multivariate statistical methods | en |
dc.subject | factor analysis | en |
dc.subject | cluster analysis | en |
dc.subject | scan luminance data | en |
dc.subject | sky luminance distribution | en |
dc.subject | surface temperature covariances | en |
dc.subject | mediterranean region | en |
dc.subject | daylight illuminance | en |
dc.subject | air-temperature | en |
dc.subject | united-kingdom | en |
dc.subject | central-europe | en |
dc.subject | climatology | en |
dc.subject | athens | en |
dc.subject | covariability | en |
dc.subject | irradiance | en |
dc.title | A new statistical methodology for classification of sky luminance distributions based on scan data | en |
heal.type | journalArticle | - |
heal.type.en | Journal article | en |
heal.type.el | Άρθρο Περιοδικού | el |
heal.identifier.secondary | <Go to ISI>://000251464200007 | - |
heal.identifier.secondary | http://ac.els-cdn.com/S0169809507001056/1-s2.0-S0169809507001056-main.pdf?_tid=857fa216627edbd1ab9012f86ce5de5d&acdnat=1334218592_6273cb3f7aa9dc4dc133b7096554ae0a | - |
heal.language | en | - |
heal.access | campus | - |
heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών και Τεχνολογιών. Τμήμα Βιολογικών Εφαρμογών και Τεχνολογιών | el |
heal.publicationDate | 2007 | - |
heal.abstract | In the present work, the sky luminance distribution in Garston, south England, is studied using the multivariate statistical methods of Factor Analysis and Cluster Analysis. The database consists of sky luminance scan data for the year 1992. The whole methodology is applied for 5 solar altitude intervals (6 degrees-18 degrees, 18 degrees-30 degrees,...,54 degrees-66 degrees). At first, Factor Analysis defines the main categories of sky conditions (overcast, partly cloudy, clear) and then Cluster Analysis gives a more detailed grouping of the available scans. For the final classification of the sky luminance distributions, the Cluster Analysis results along with the functions of "relative gradation" and "relative scattering indicatrix", which have been introduced by Kittler et al., are taken into account. For an assessment of the methodology proposed, the results have been compared to the ones found by using the Standard Sky Luminance Distribution method (Kittler et al.). For solar altitudes up to 42 degrees the differences in the frequency of occurrences, for the three main categories, is less than 10%. The statistical approach used in this paper is recommended as an additional means to "standard" methods for classification of sky luminance conditions, when scan measurements are available. (c) 2007 Elsevier B.V. All rights reserved. | en |
heal.journalName | Atmospheric Research | en |
heal.journalType | peer reviewed | - |
heal.fullTextAvailability | TRUE | - |
Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΦΥΣ |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Markou-2007-A new statistical me.pdf | 1.54 MB | Adobe PDF | View/Open Request a copy |
This item is licensed under a Creative Commons License