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- Archila Bustos, Maria Francisca, et al.
(author)
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A pixel level evaluation of five multitemporal global gridded population datasets : a case study in Sweden, 1990-2015
- 2020
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In: Population and environment. - : Springer Science and Business Media LLC. - 0199-0039 .- 1573-7810. ; 42, s. 255-277
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Research review (peer-reviewed)abstract
- Human activity is a major driver of change and has contributed to many of the challenges we face today. Detailed information about human population distribution is fundamental and use of freely available, high-resolution, gridded datasets on global population as a source of such information is increasing. However, there is little research to guide users in dataset choice. This study evaluates five of the most commonly used global gridded population datasets against a high-resolution Swedish population dataset on a pixel level. We show that datasets which employ more complex modeling techniques exhibit lower errors overall but no one dataset performs best under all situations. Furthermore, differences exist in how unpopulated areas are identified and changes in algorithms over time affect accuracy. Our results provide guidance in navigating the differences between the most commonly used gridded population datasets and will help researchers and policy makers identify the most suitable datasets under varying conditions.
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| 2. |
- Niedomysl, Thomas, et al.
(author)
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Using Satellite Data on Nighttime Lights Intensity to Estimate Contemporary Human Migration Distances
- 2017
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In: Annals of the American Association of Geographers. - : Informa UK Limited. - 2469-4452 .- 2469-4460. ; 107:3, s. 591-605
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Journal article (peer-reviewed)abstract
- © 2017 by American Association of Geographers. For well over a century, migration researchers have recognized the lack of adequate distance measures to be a key obstacle for advancing understanding of internal migration. The problem arises from the convention of spatially defining migration as the crossing of administrative borders. Because administrative regions vary in size, shape, and settlement patterns, it is difficult to tell how far movers go, raising doubts about the generalizability of research in the field. This article shows that satellite data on nighttime lights can be used to infer accurate measures of migration distance. We first use the intensity of nighttime lights to locate mean population centers that closely correspond to mean population centers calculated from actual population data. Until now, locating mean population centers accurately has been problematic, as it has required highly disaggregated population data, which are lacking in many countries. The nighttime lights data, which are freely available on a yearly basis, solve this challenge. We then show that this information can be used to accurately estimate migration distances.
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| 6. |
- Iosif, Alina Elena, et al.
(author)
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Assessing Territorial Impact Assessment: The Case Of Services Of General Interest
- 2013
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In: Romanian Journal of Regional Science. - 1843-8520. ; 7:June 15, s. 66-87
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Journal article (peer-reviewed)abstract
- No single or common definition, or even a shared basic understanding, of Territorial Impact Assessment (TIA) currently exists. The conceptual background of TIA is focused on Territorial Cohesion (TC), which, in turn, also lacks a single definition. TC has a strong connection to Services of General Interest (SGI) as these services are a crucial element of the Cohesion Policy. This paper is a spin-off from the ESPON SeGI project and aims to discuss the applicability of TIA on SGI. The analysis is focused on an ex ante evaluation of TIA and on the methodology of critical evaluation. The findings suggest a rather limited applicability as an undefined concept (TIA) is based on another undefined concept (TC) to measure the impact on a third vaguely defined concept (SGI). Moreover, the particularities of each SGI may be related to economic and social changes that themselves may or may not be territorially reflected.
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| 9. |
- Marques da Costa, Eduarda, et al.
(author)
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What indicators to use when measuring services of general interest?
- 2013
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In: Europe XXI. - Poland : Stanisław Leszczycki Institute of Geography and Spatial Organization (IGSO). - 1429-7132 .- 2300-8547. ; 23, s. 7-28
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Journal article (peer-reviewed)abstract
- The services of general interest (SGI) have received increasing attention of the European Union, which considers them a key element of the European model of society. They not only play an important role in the ongoing competitiveness of the European economy, but are also essential for achieving the goal of promoting social and territorial cohesion. Their potential role in the pursuit of the objectives of European cohesion and convergence policies may be significant which calls for an appropriate measurement and analysis of territorial distribution. The indicators are assumed to be a key element in measuring and describing the SGI, however, it is necessary to make a serious reflection how such indicators should be selected. The selection of indicators can be conditioned by several factors, however, it is imperative to make a qualitative reflection on the adequacy and relevance of indicators to analyse the SGI. This reflection runs through the paper. The concept of indicators is addressed, and their strengths and weaknesses are discussed. The indicators are classified according to the role they play in the cause-effect relations in distinct territories. Three types of indicators are identified. Appraisal of indicators and review of literature render it possible to identify the most frequently used indicators and to see SGI analysis from several perspectives, thus verifying that indicators can present different meanings and relevance, based on a range of factors and the scale of analysis. Some of the uncertainties arising in the SGI territorial analysis, which can contribute to the success of the policy making process, are recognized through an example based on the ICT Telecommunication SGI sub-domain. Some procedures connected with the integration of different types of indicators are proposed in order to limit the emergent uncertainties resulting from their interpretation
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