IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i5p1369-d143643.html
   My bibliography  Save this article

Towards Spatial Composite Indicators: A Case Study on Sardinian Landscape

Author

Listed:
  • Daniele Trogu

    (Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, 09123 Cagliari, Italy)

  • Michele Campagna

    (Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, 09123 Cagliari, Italy)

Abstract

Composite Indicators (CIs) recently earned popularity as decision-support tool in policy-making for their ability to give concise measures of complex phenomena. Despite growing diffusion of the use of CI in policy-making, current research has barely addressed the issue of the spatial dimension of input data and of final indicator scores. Nowadays the spatial dimension of data plays a crucial role in analysis, thanks to recent developments in spatial data infrastructures which has enabled seamless access to a large amount of geographic information. In addition, recent developments in spatial statistical techniques are facilitating the understanding of the presence of spatial effects among data, spatial dependence and spatial heterogeneity. These advances are improving our ability to understand the spatial dimension of information, which is crucial to obtain a more robust representation of the territorial reality and insights of territorial dynamics in order to inform decisions in spatial planning and policy-making. This paper proposes an original method for the integration of spatial multivariate analysis and the use of spatial data to extend existing state of the art methods for CIs, as a step towards the construction of Spatial Composite Indicators. The method was successfully tested on a landscape planning case study.

Suggested Citation

  • Daniele Trogu & Michele Campagna, 2018. "Towards Spatial Composite Indicators: A Case Study on Sardinian Landscape," Sustainability, MDPI, vol. 10(5), pages 1-21, April.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1369-:d:143643
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/5/1369/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/5/1369/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giampietro, Mario & Mayumi, Kozo & Munda, Giuseppe, 2006. "Integrated assessment and energy analysis: Quality assurance in multi-criteria analysis of sustainability," Energy, Elsevier, vol. 31(1), pages 59-86.
    2. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    3. Michele Campagna & Massimo Craglia, 2012. "The Socioeconomic Impact of the Spatial Data Infrastructure of Lombardy," Environment and Planning B, , vol. 39(6), pages 1069-1083, December.
    4. E Talen & L Anselin, 1998. "Assessing Spatial Equity: An Evaluation of Measures of Accessibility to Public Playgrounds," Environment and Planning A, , vol. 30(4), pages 595-613, April.
    5. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    6. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    7. L Cherchye & W Moesen & N Rogge & T Van Puyenbroeck & M Saisana & A Saltelli & R Liska & S Tarantola, 2008. "Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 239-251, February.
    8. Andrew Sharpe, 2004. "Literature Review of Frameworks for Macro-indicators," CSLS Research Reports 2004-03, Centre for the Study of Living Standards.
    9. Michael F. Goodchild & Luc Anselin & Richard P. Appelbaum & Barbara Herr Harthorn, 2000. "Toward Spatially Integrated Social Science," International Regional Science Review, , vol. 23(2), pages 139-159, April.
    10. Gómez-Limón, José A. & Sanchez-Fernandez, Gabriela, 2010. "Empirical evaluation of agricultural sustainability using composite indicators," Ecological Economics, Elsevier, vol. 69(5), pages 1062-1075, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    2. Francisco Javier Moreno Marimbaldo & Miguel-Ángel Manso-Callejo & Ramon Alcarria, 2018. "A Methodological Approach to Using Geodesign in Transmission Line Projects," Sustainability, MDPI, vol. 10(8), pages 1-30, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    2. Enrico Ivaldi & Gian Marco Ugolini, 2015. "The Nautical Quality Index (NaQi): Methodology and Application to the Case of Italy," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 43-58, May.
    3. Carlo Drago, 2017. "Interval Based Composite Indicators," Working Papers 2017.42, Fondazione Eni Enrico Mattei.
    4. Byomkesh Talukder & Keith W. Hipel & Gary W. vanLoon, 2017. "Developing Composite Indicators for Agricultural Sustainability Assessment: Effect of Normalization and Aggregation Techniques," Resources, MDPI, vol. 6(4), pages 1-27, November.
    5. Giovanna Boccuzzo & Licia Maron, 2017. "Proposal of a composite indicator of job quality based on a measure of weighted distances," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2357-2374, September.
    6. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    7. Khatab Alqararah, 2023. "Assessing the robustness of composite indicators: the case of the Global Innovation Index," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-22, December.
    8. Saisana, Michaela & d'Hombres, Béatrice & Saltelli, Andrea, 2011. "Rickety numbers: Volatility of university rankings and policy implications," Research Policy, Elsevier, vol. 40(1), pages 165-177, February.
    9. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    11. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    12. Giuseppe Coco & Raffaele Lagravinese & Giuliano Resce, 2020. "Beyond the weights: a multicriteria approach to evaluate inequality in education," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 469-489, December.
    13. Nhemachena, Charles & Matchaya, Greenwell & Nhemachena, C. R. & Karuaihe, S. & Muchara, B. & Nhlengethwa, Sibusiso, 2018. "Measuring baseline agriculture-related sustainable development goals index for southern Africa," Papers published in Journals (Open Access), International Water Management Institute, pages 10(3):1-16..
    14. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    15. Charles Nhemachena & Greenwell Matchaya & Charity R. Nhemachena & Selma Karuaihe & Binganidzo Muchara & Sibusiso Nhlengethwa, 2018. "Measuring Baseline Agriculture-Related Sustainable Development Goals Index for Southern Africa," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    16. Lozano-Oyola, Macarena & Contreras, Ignacio & Blancas, Francisco Javier, 2019. "An Operational Non-compensatory Composite Indicator: Measuring Sustainable Tourism in Andalusian Urban Destinations," Ecological Economics, Elsevier, vol. 159(C), pages 1-10.
    17. ViniÌ cius de Azevedo Couto Firme & JoaniÌ lio Rodolpho Teixeira, 2014. "Index of Macroeconomic Performance for a Subset of Countries: A Kaldorian Analysis from the Magic Square Approach Focusing on Brazilian Economy in the Period 1997-2012," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(5), pages 527-542, October.
    18. Alessandro Magrini & Francesca Giambona, 2022. "A Composite Indicator to Assess Sustainability of Agriculture in European Union Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1003-1036, October.
    19. Jad Chaaban & Alexandra Irani & Alexander Khoury, 2016. "The Composite Global Well-Being Index (CGWBI): A New Multi-Dimensional Measure of Human Development," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 465-487, October.
    20. Marco Dugato & Francesco Calderoni & Gian Maria Campedelli, 2020. "Measuring Organised Crime Presence at the Municipal Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 237-261, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1369-:d:143643. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.