Skip to main content
SpringerLink
Log in

A Decision Support System Based on WebGIS for Supporting Community Development

  • Conference paper
  • First Online:
Advances in Computer, Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1158))

Abstract

A decision support system is needed by local government agencies in carrying out community development projects. This research aims to develop a decision support system based on a WebGIS environment. The system was designed to store spatial and non-spatial data involving revenue and household data and to provide information for supporting the creation of poverty alleviation projects. The system design was focusing on revenue information of individual household where the users could drill down to explore data of each house. The data used in the system were collected from the study areas, which included five villages in Loei and Khonkaen Provinces in Thailand. In the WebGIS system, GeoServer was used to manage the spatial and non-spatial data, which were stored in PostgreSQL database. The shapefiles of house locations were created in QGIS. To visualize the map, the WebGIS was developed by combining the geodata and shapefiles with Google Map. The data were visualized on tabulation and graph formats with a poverty line for distinguishing household with poverty alleviation needs. Linear regression was applied for assisting revenue prediction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. H.P. Babu, J. Selvaraj, S. Ramachandran, P.D. Marimuthu, S. Somanathan, Spatial data mining association rules and fuzzy logic for autonomous exploration of geo-referenced cancer data in Western Tamilnadu, India. Netw. Model Anal. Health Inf. Bioinf. 4, 23 (2015)

    Article  Google Scholar 

  2. J. Blahut, I. Poretti, M.D. Amicis, S. Sterlacchini, Database of geo-hydrological disasters for civil protection purposes. Nat. Hazards 60, 1065–1083 (2012)

    Article  Google Scholar 

  3. T.L. Hawthorne, M.P. Kwan, Using GIS and perceived distance to understand the unequal geographies of healthcare in lower-income urban neighbourhoods. Geograph. J. 178(1), 18–30 (2012)

    Article  Google Scholar 

  4. Q. Kurbanov, Applied GIS: web GIS serving public safety in central Asia. Int. J. Geoinf. 11(4), 69–74 (2015)

    Google Scholar 

  5. P.T. Makanga, N. Schuurman, C. Sacoor, H. Boene, P. von Dadelszen, T. Firoz, Guidelines for creating framework data for GIS analysis in low- and middle-income countries. Can. Geogr. 60(3), 320–332 (2016)

    Article  Google Scholar 

  6. A. Mansourian, M. Taleai, A. Fasihi, A web-based spatial decision support system to enhance public participation in urban planning processes. J. Spat. Sci. 56(2), 269–282 (2011)

    Article  Google Scholar 

  7. A. Oliveira, G. Jesus, J.L. Gomes, J. Rogeiro, A. Azevedo, M. Rodrigues, A.B. Fortunato, J.M. Dias, L.M. Tomas, L. Vaz, E.R. Oliveira, F.L. Alves, S. den Boer, An interactive WebGIS observatory platform for enhanced support of integrated coastal management. J. Coast. Res. Spec. Issue 70, 507–512 (2014)

    Article  Google Scholar 

  8. W. Puarungroj, N. Boonsirisumpun, P. Pongpatrakant, S. Phromkhot, Application of data mining techniques for predicting student success in English exit exam, in The 12th ACM International Conference on Ubiquitous Information Management and Communication (2018)

    Google Scholar 

  9. W. Puarungroj, S. Phromkhot, N. Boonsirisumpun, P. Pongpatrakant, S. Sangpradid, WebGIS for managing household data within a provincial big data project, in The 7th International Conference on Computer and Communications Management (ICCCM 2019) (2019)

    Google Scholar 

  10. W. Puarungroj, P. Pongpatrakant, N. Boonsirisumpun, S. Phromkhot, Investigating factors affecting library visits by university students using data mining. LIBRES 28(1), 25–33 (2018)

    Google Scholar 

  11. W. Qi, Y. Deng, B. Fu, Rural attraction: the spatial pattern and driving factors of China’s rural in-migration. J. Rural Stu. s(2019)

    Google Scholar 

  12. P. Salvati, V. Balducci, C. Bianchi, F. Guzzetti, G. Tonelli, A WebGIS for the dissemination of information on historical landslides and floods in Umbria, Italy. Geoinformatica 13(3), 305–322 (2009)

    Article  Google Scholar 

  13. R. Sciortino, R. Micale, M. Enea, G. La Scalia, A webGIS-based system for real time shelf life prediction. Comput. Electron. Agric. 127, 451–459 (2016)

    Article  Google Scholar 

  14. S. Shen, Z. Shen, M. Zhao, Big data monitoring system design and implementation of invasive alien plants based on WSNs and WebGIS. Wireless Pers. Commun. 97(3), 4251–4263 (2017)

    Article  Google Scholar 

  15. R. Stanković, N. Vulović, N. Lilić, I. Obradović, R. Tošović, M. Pešić-Georgiadis, A WebGIS decision support system for management of abandoned Mines. Energies 9(7), 567 (2016)

    Article  Google Scholar 

  16. W. Wang, J. Wu, L. Fang, K. Zeng, X. Chang, Design and implementation of spatial database and geo-processing models for a road geo-hazard information management and risk assessment system. Environ. Earth Sci. 73, 1103–1117 (2015)

    Article  Google Scholar 

  17. B. Xie, C. Cao, W. Chen, B. Yu, Prediction and analysis of the potential risk of sudden oak death in China. J. Forestry Res. 30, 1–10 (2018)

    Google Scholar 

  18. X. Yao, D. Zhu, W. Yun, F. Peng, L. Li, A WebGIS-based decision support system for locust prevention and control in China. Comput. Electron. Agric. 140, 148–158 (2017)

    Article  Google Scholar 

  19. G. Zhang, L. Chen, Z. Dong, Real-time warning system of regional landslides supported by WEBGIS and its application in Zhejiang Province, China. Proc. Earth Planet. Sci. 2, 247–254 (2011)

    Article  Google Scholar 

Download references

Acknowledgments

Compliance with Ethical Standards

Funding

This study was funded by the fund from the Strategic Plan of Loei Rajabhat University for Community Development Project provided by Loei Rajabhat University under the National Budget No. 620205001.

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

This chapter contains the interview with participants as per their ethical approval.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Author information

Authors and Affiliations

  1. Computer Science Department, Faculty of Science and Technology, Loei Rajabhat University, Loei, 42000, Thailand

    Wichai Puarungroj, Suchada Phromkhot & Narong Boonsirisumpun

  2. Computer Education Department, Faculty of Education, Loei Rajabhat University, Loei, 42000, Thailand

    Pathapong Pongpatrakant

Authors
  1. Wichai Puarungroj
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Suchada Phromkhot
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Narong Boonsirisumpun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pathapong Pongpatrakant
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wichai Puarungroj .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri–St. Louis, Chesterfield, MO, USA

    Sanjiv K. Bhatia

  2. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Shanghai Advanced Research Institute, Pudong, China

    Su Ruidan

  4. National Institute of Technology Agartala, Agartala, Tripura, India

    Munesh Chandra Trivedi

  5. Computer Science Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    K. K. Mishra

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Puarungroj, W., Phromkhot, S., Boonsirisumpun, N., Pongpatrakant, P. (2021). A Decision Support System Based on WebGIS for Supporting Community Development. In: Bhatia, S.K., Tiwari, S., Ruidan, S., Trivedi, M.C., Mishra, K.K. (eds) Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 1158. Springer, Singapore. https://doi.org/10.1007/978-981-15-4409-5_32

Download citation

Publish with us

Policies and ethics

Search

Navigation