Abstract
The paper reports the main technological characteristics and functionalities of a web-based Multi-criteria Spatial Decision Support System (MC-SDSS) implemented on free open source software for geospatial (FOSS4G) environment. The web-based MC-SDSS was designed to perform land suitability evaluation (LSE) for olive crops and applied to the territory of Calabria (Italy). From a technological point of view, the MC-SDSS was designed on a multi-tier architecture compliant with the Open Geospatial Consortium (OGC) services (WFS, web feature service; WCS, web coverage service, and WMS, web map service. Moreover, it was enabled to processes executable via OGC web processing services (WPSs). LSE of olive crops is provided following the analytical hierarchy process (AHP) based on the different judgements obtained from experts and aggregated through the weighted linear combination (WLC). With the aim to implement an effective planning tool, the WebGIS client was designed to manage three different type of users with different level of privileges: Guest, Expert and Decision Maker. The results are expressed as multi-attribute geospatial maps (land suitability maps) and as distribution graphs according to the envisaged land suitability classes (not suitable, low, medium, high and very high suitability).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Collins, M. G., Steiner, F. R., & Rushman, M. J. (2001). Land-use suitability analysis in the United States: Historical development and promising technological achievements. Environmental Management, 28, 611–621.
Eastman, R., Jin, W., Kyem, P. A. K., & Toledano, J. (1995). Raster procedures for multi-criteria/multi-objective decisions. Photogrammetric Engineering and Remote Sensing, 61, 539–547.
Forman, E., & Peniwati, K. (1998). Aggregating individual judgments and priorities with the analytic hierarchy process. European Journal of Operational Research, 108, 165–169.
Malczewski, J. (1999). GIS and multicriteria decision analysis. New York: Wiley.
Modica, G., Laudari, L., Barreca, F., & Fichera, C. R. (2014). A GIS-MCDA based model for the suitability evaluation of traditional grape varieties: The case-study of “Mantonico” grape (Calabria, Italy). International Journal of Agricultural and Environmental Information Systems, 5, 1–16.
Modica, G., Merlino, A., Solano, F., & Mercurio, R. (2015). An index for the assessment of degraded Mediterranean forest ecosystems. For. Syst., 24, 13.
Modica, G., Pollino, M., Lanucara, S., La Porta, L., Pellicone, G., Di Fazio, S., Fichera, C. R. (2016) Land suitability evaluation for agro-forestry: Definition of a web-based multi-criteria spatial decision support system (MC-SDSS): Preliminary results. In: O. Gervasi et al. (Eds.), Computational science and its applications—ICCSA 2016. Lecture Notes in Computer Science (Vol. 9788). Cham: Springer.
OGC® Standards. Retrieved from https://www.opengeospatial.org/standards.
Pollino, M., & Modica, G. (2013). Free Web mapping tools to characterise landscape dynamics and to favour e-participation. In B. Murgante, S. Misra, M. Carlini, C. M. Torre, H.-Q. Nguyen, D. Taniar, B. O. Apduhan, & O. Gervasi (Eds.), ICCSA 2013, Part III (Vol. 7973, pp. 566–581)., LNCS Heidelberg: Springer.
Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York: McGraw-Hill.
Steiniger, S., & Hunter, A. J. S. (2012). Free and open source GIS software for building a spatial data infrastructure. In E. Bocher & M. Neteler (Eds.), Geospatial free and open source software in the 21st century (pp. 247–261). Heidelberg: Springer.
Vizzari, M., & Modica, G. (2013). Environmental effectiveness of swine sewage management: A multicriteria AHP-based model for a reliable quick assessment. Environmental Management, 52, 1023–1039.
Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 18, 183–190.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Modica, G., Pollino, M., La Porta, L., Di Fazio, S. (2020). Proposal of a Web-Based Multi-criteria Spatial Decision Support System (MC-SDSS) for Agriculture. In: Coppola, A., Di Renzo, G., Altieri, G., D'Antonio, P. (eds) Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production. MID-TERM AIIA 2019. Lecture Notes in Civil Engineering, vol 67. Springer, Cham. https://doi.org/10.1007/978-3-030-39299-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-030-39299-4_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-39298-7
Online ISBN: 978-3-030-39299-4
eBook Packages: EngineeringEngineering (R0)