Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data
Mapping geographic concentrations of quaternary industries (QIs) may help to assess regional performance and formulate informed development policies. However, fine resolution data on QIs concentrations are sparsely reported. Thus, for the year 2010, only 45% of all NUTS3 regions (i.e. regions of the...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-09-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2016.1255789 |
| _version_ | 1797678640835592192 |
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| author | Natalya A. Rybnikova Boris A. Portnov |
| author_facet | Natalya A. Rybnikova Boris A. Portnov |
| author_sort | Natalya A. Rybnikova |
| collection | DOAJ |
| description | Mapping geographic concentrations of quaternary industries (QIs) may help to assess regional performance and formulate informed development policies. However, fine resolution data on QIs concentrations are sparsely reported. Thus, for the year 2010, only 45% of all NUTS3 regions (i.e. regions of the third and most detailed level of the Nomenclature of Units for Territorial Statistics of the EU) provide relevant information. In this study, we investigate a possibility that artificial light-at-night (ALAN), captured by satellite sensors, can help to identify geographic concentrations of QIs. In this study, we use year-2010 NUTS3 Eurostat data, and combine them with data on ALAN intensities, obtained from the U.S. Defense Meteorological Satellite Program (US-DMSP) for the years 2000 and 2010. In both ordinary least squares (OLS) and spatial dependency (SD) models, ALAN emerged as a statistically significant predictor (t = 8.392–14.608; P < .01), helping to explain, along with other predictors, up to 75% of QIs regional variation. The obtained models and regional data presently available enabled estimates of QIs concentrations for European NUTS3 regions with missing data. |
| first_indexed | 2024-03-11T23:02:52Z |
| format | Article |
| id | doaj.art-ae993786d6fc4532b198e9766f173572 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:02:52Z |
| publishDate | 2017-09-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-ae993786d6fc4532b198e9766f1735722023-09-21T14:38:05ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552017-09-0110986187810.1080/17538947.2016.12557891255789Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) dataNatalya A. Rybnikova0Boris A. Portnov1University of HaifaUniversity of HaifaMapping geographic concentrations of quaternary industries (QIs) may help to assess regional performance and formulate informed development policies. However, fine resolution data on QIs concentrations are sparsely reported. Thus, for the year 2010, only 45% of all NUTS3 regions (i.e. regions of the third and most detailed level of the Nomenclature of Units for Territorial Statistics of the EU) provide relevant information. In this study, we investigate a possibility that artificial light-at-night (ALAN), captured by satellite sensors, can help to identify geographic concentrations of QIs. In this study, we use year-2010 NUTS3 Eurostat data, and combine them with data on ALAN intensities, obtained from the U.S. Defense Meteorological Satellite Program (US-DMSP) for the years 2000 and 2010. In both ordinary least squares (OLS) and spatial dependency (SD) models, ALAN emerged as a statistically significant predictor (t = 8.392–14.608; P < .01), helping to explain, along with other predictors, up to 75% of QIs regional variation. The obtained models and regional data presently available enabled estimates of QIs concentrations for European NUTS3 regions with missing data.http://dx.doi.org/10.1080/17538947.2016.1255789quaternary industries (qis)artificial light-at-night (alan)nuts3 regionseurope |
| spellingShingle | Natalya A. Rybnikova Boris A. Portnov Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data International Journal of Digital Earth quaternary industries (qis) artificial light-at-night (alan) nuts3 regions europe |
| title | Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data |
| title_full | Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data |
| title_fullStr | Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data |
| title_full_unstemmed | Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data |
| title_short | Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data |
| title_sort | estimating geographic concentrations of quaternary industries in europe using artificial light at night alan data |
| topic | quaternary industries (qis) artificial light-at-night (alan) nuts3 regions europe |
| url | http://dx.doi.org/10.1080/17538947.2016.1255789 |
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