IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i7p1157-d103367.html
   My bibliography  Save this article

Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS

Author

Listed:
  • Soyoung Park

    (BK21 Plus Project of the Graduate School of Earth Environmental Hazard System, Pukyong National University, Busan 48513, Korea)

  • Se-Yeong Hamm

    (Department of Geological Sciences, Pusan National University, Busan 46241, Korea)

  • Hang-Tak Jeon

    (Department of Geological Sciences, Pusan National University, Busan 46241, Korea)

  • Jinsoo Kim

    (Department of Spatial Information Engineering, Pukyong National University, Busan 48513, Korea)

Abstract

This study mapped and analyzed groundwater potential using two different models, logistic regression (LR) and multivariate adaptive regression splines (MARS), and compared the results. A spatial database was constructed for groundwater well data and groundwater influence factors. Groundwater well data with a high potential yield of ≥70 m 3 /d were extracted, and 859 locations (70%) were used for model training, whereas the other 365 locations (30%) were used for model validation. We analyzed 16 groundwater influence factors including altitude, slope degree, slope aspect, plan curvature, profile curvature, topographic wetness index, stream power index, sediment transport index, distance from drainage, drainage density, lithology, distance from fault, fault density, distance from lineament, lineament density, and land cover. Groundwater potential maps (GPMs) were constructed using LR and MARS models and tested using a receiver operating characteristics curve. Based on this analysis, the area under the curve (AUC) for the success rate curve of GPMs created using the MARS and LR models was 0.867 and 0.838, and the AUC for the prediction rate curve was 0.836 and 0.801, respectively. This implies that the MARS model is useful and effective for groundwater potential analysis in the study area.

Suggested Citation

  • Soyoung Park & Se-Yeong Hamm & Hang-Tak Jeon & Jinsoo Kim, 2017. "Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1157-:d:103367
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/7/1157/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/7/1157/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saro Lee & Chang-Wook Lee, 2015. "Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping," Sustainability, MDPI, vol. 7(10), pages 1-17, September.
    2. Gutiérrez, Álvaro Gómez & Schnabel, Susanne & Lavado Contador, J. Francisco, 2009. "Using and comparing two nonparametric methods (CART and MARS) to model the potential distribution of gullies," Ecological Modelling, Elsevier, vol. 220(24), pages 3630-3637.
    3. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture," IWMI Books, Reports H040193, International Water Management Institute.
    4. Seyed Naghibi & Hamid Pourghasemi, 2015. "A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5217-5236, November.
    5. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary," IWMI Books, Reports H039769, International Water Management Institute.
    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. Mehmet Özgür Çelik & Lütfiye Kuşak & Murat Yakar, 2024. "Assessment of Groundwater Potential Zones Utilizing Geographic Information System-Based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Prefe," Sustainability, MDPI, vol. 16(5), pages 1-27, March.
    2. Phong Tung Nguyen & Duong Hai Ha & Huu Duy Nguyen & Tran Van Phong & Phan Trong Trinh & Nadhir Al-Ansari & Hiep Van Le & Binh Thai Pham & Lanh Si Ho & Indra Prakash, 2020. "Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling," Sustainability, MDPI, vol. 12(7), pages 1-28, March.
    3. Simona Ioana Ghita & Andreea Simona Saseanu & Rodica-Manuela Gogonea & Catalin-Emilian Huidumac-Petrescu, 2018. "Perspectives of Ecological Footprint in European Context under the Impact of Information Society and Sustainable Development," Sustainability, MDPI, vol. 10(9), pages 1-25, September.

    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. Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
    2. Christopher O. AKINBILE & Andrew E. ERAZUA & Toju E. BABALOLA & Fidelis O. AJIBADE, 2016. "Environmental implications of animal wastes pollution on agricultural soil and water quality," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(3), pages 172-180.
    3. David O. Yawson & Barry J. Mulholland & Tom Ball & Michael O. Adu & Sushil Mohan & Philip J. White, 2017. "Effect of Climate and Agricultural Land Use Changes on UK Feed Barley Production and Food Security to the 2050s," Land, MDPI, vol. 6(4), pages 1-14, October.
    4. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    5. Leakey, Roger & Kranjac-Berisavljevic, Gordana & Caron, Patrick & Craufurd, Peter & Martin, Adrienne M. & McDonald, Andy & Abedini, Walter & Afiff, Suraya & Bakurin, Ndey & Bass, Steve & Hilbeck, Ange, 2009. "Impacts of AKST on development and sustainability goals," Book Chapters,, International Water Management Institute.
    6. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    7. Awulachew, Seleshi Bekele, 2011. "Water-centered growth challenges, innovations and interventions in Ethiopia," Conference Papers h044260, International Water Management Institute.
    8. Cunha, Henrique & Loureiro, Dália & Sousa, Gonçalo & Covas, Dídia & Alegre, Helena, 2019. "A comprehensive water balance methodology for collective irrigation systems," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    9. Lankford, B. & Makin, Ian & Matthews, N. & McCornick, Peter G. & Noble, A. & Shah, Tushaar, "undated". "A compact to revitalise large-scale irrigation systems using a leadership-partnership-ownership 'Theory of Change'," Papers published in Journals (Open Access) H047459, International Water Management Institute.
    10. Molle, Francois & Berkoff, Jeremy, 2007. "Water pricing in irrigation: the lifetime of an idea," Book Chapters,, International Water Management Institute.
    11. Bossio, Deborah & Geheb, Kim & Critchley, William, 2010. "Managing water by managing land: Addressing land degradation to improve water productivity and rural livelihoods," Agricultural Water Management, Elsevier, vol. 97(4), pages 536-542, April.
    12. Batidzirai, B. & Smeets, E.M.W. & Faaij, A.P.C., 2012. "Harmonising bioenergy resource potentials—Methodological lessons from review of state of the art bioenergy potential assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6598-6630.
    13. Tiziano Gomiero, 2016. "Soil Degradation, Land Scarcity and Food Security: Reviewing a Complex Challenge," Sustainability, MDPI, vol. 8(3), pages 1-41, March.
    14. Gurib-Fakim, A. & Smith, L. & Acikgoz, N. & Avato, P. & Bossio, Deborah & Ebi, K. & Goncalves, A. & Heinemann, J. A. & Herrmann, T. M. & Padgham, J. & Pennarz, J. & Scheidegger, U. & Sebastian, L. & T, 2009. "Options to enhance the impact of AKST on development and sustainability goals," IWMI Books, Reports H042792, International Water Management Institute.
    15. Venot, Jean-Philippe & Sharma, Bharat R. & Rao, K. V. G. K., 2008. "The lower Krishna Basin trajectory: relationships between basin development and downstream environmental degradation," IWMI Research Reports H041463, International Water Management Institute.
    16. Malin Falkenmark & Charlotte de Fraiture & Margaret J. Vick, 2009. "Global change in four semi‐arid transnational river basins: Analysis of institutional water sharing preparedness," Natural Resources Forum, Blackwell Publishing, vol. 33(4), pages 310-319, November.
    17. Philippus Wester & Jaime Hoogesteger & Linden Vincent, 2009. "Local IWRM organizations for groundwater regulation: The experiences of the Aquifer Management Councils (COTAS) in Guanajuato, Mexico," Natural Resources Forum, Blackwell Publishing, vol. 33(1), pages 29-38, February.
    18. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    19. Feng Huang & Baoguo Li, 2020. "What is the Redline Water Withdrawal for Crop Production in China?—Projection to 2030 Derived from the Past Twenty-Year Trajectory," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    20. Venot, Jean-Philippe & Reddy, V. Ratna & Umapathy, Deeptha, 2010. "Coping with drought in irrigated South India: Farmers' adjustments in Nagarjuna Sagar," Agricultural Water Management, Elsevier, vol. 97(10), pages 1434-1442, October.

    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:9:y:2017:i:7:p:1157-:d:103367. 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.