{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T20:22:14Z","timestamp":1770668534298,"version":"3.49.0"},"reference-count":63,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T00:00:00Z","timestamp":1630022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005357","name":"Agent\u00fara na Podporu V\u00fdskumu a V\u00fdvoja","doi-asserted-by":"publisher","award":["APVV-18-0185"],"award-info":[{"award-number":["APVV-18-0185"]}],"id":[{"id":"10.13039\/501100005357","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006109","name":"Vedeck\u00e1 Grantov\u00e1 Agent\u00fara M\u0160VVa\u0160 SR a SAV","doi-asserted-by":"publisher","award":["1\/0880\/21"],"award-info":[{"award-number":["1\/0880\/21"]}],"id":[{"id":"10.13039\/501100006109","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The aim of this study was to identify the areas with different levels of riverine flood potential (RFP) in the Nitra river basin, Slovakia, using multi-criteria evaluation (MCE)-analytical hierarchical process (AHP), geographic information systems (GIS), and seven flood conditioning factors. The RFP in the Nitra river basin had not yet been assessed through MCE-AHP. Therefore, the methodology used can be useful, especially in terms of the preliminary flood risk assessment required by the EU Floods Directive. The results showed that classification techniques of natural breaks (Jenks), equal interval, quantile, and geometric interval classified 32.03%, 29.90%, 41.84%, and 53.52% of the basin, respectively, into high and very high RFP while 87.38%, 87.38%, 96.21%, and 98.73% of flood validation events, respectively, corresponded to high and very high RFP. A single-parameter sensitivity analysis of factor weights was performed in order to derive the effective weights, which were used to calculate the revised riverine flood potential (RRFP). In general, the differences between the RFP and RRFP can be interpreted as an underestimation of the share of high and very high RFP as well as the share of flood events in these classes within the RFP assessment. Therefore, the RRFP is recommended for the assessment of riverine flood potential in the Nitra river basin.<\/jats:p>","DOI":"10.3390\/ijgi10090578","type":"journal-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T09:53:23Z","timestamp":1630058003000},"page":"578","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9369-3173","authenticated-orcid":false,"given":"Matej","family":"Vojtek","sequence":"first","affiliation":[{"name":"Department of Geography and Regional Development, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Trieda A. Hlinku 1, 94901 Nitra, Slovakia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8904-9673","authenticated-orcid":false,"given":"Jana","family":"Vojtekov\u00e1","sequence":"additional","affiliation":[{"name":"Department of Geography and Regional Development, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Trieda A. Hlinku 1, 94901 Nitra, Slovakia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0468-5962","authenticated-orcid":false,"given":"Quoc Bao","family":"Pham","sequence":"additional","affiliation":[{"name":"Institute of Applied Technology, Thu Dau Mot University, Thu Dau Mot City 75000, Vietnam"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"key":"ref_1","unstructured":"Smith, K., and Ward, R. (1998). Floods: Physical Processes and Human Impacts, John Wiley & Sons."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1038\/nclimate1911","article-title":"Global flood risk under climate change","volume":"3","author":"Hirabayashi","year":"2013","journal-title":"Nat. Clim. Chang."},{"key":"ref_3","unstructured":"(2021, April 23). Directive 2007\/60\/EC of the European Parliament and of the Council of 23 October 2007 on the Assessment and Management of Flood Risks. Available online: http:\/\/eurlex.europa.eu\/LexUriServ\/LexUriServ.do?uri=OJ:L:2007:288:0027:0034:SK:PDF."},{"key":"ref_4","unstructured":"(2021, August 12). Predbe\u017en\u00e9 Hodnotenie Povod\u0148ov\u00e9ho Rizika v Slovenskej Republike [Preliminary Flood Risk Assessment in the Slovak Republic], Available online: http:\/\/www.minzp.sk\/files\/sekcia-vod\/phpr_sr-textova-cast-oprava.pdf."},{"key":"ref_5","unstructured":"(2021, August 12). Predbe\u017en\u00e9 Hodnotenie Povod\u0148ov\u00e9ho Rizika v Slovenskej Republike\u2014Aktualiz\u00e1cia 2018 [Preliminary Flood Risk Assessment in the Slovak Republic\u2014Update 2018], Available online: http:\/\/www.minzp.sk\/files\/sekcia-vod\/hodnotenierizika-2018\/phpr_sr2018.pdf."},{"key":"ref_6","unstructured":"Min\u00e1r, J., Trizna, M., Barka, I., and Bonk, R. (2005). Povod\u0148ov\u00fd Potenci\u00e1l na \u00daZEM\u00cd SLOVENSKA [Flood Potential in Slovakia], Geo-grafika."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s11707-017-0636-1","article-title":"Mapping flood and flooding potential indices: A methodological approach to identifying areas susceptible to flood and flooding risk. Case study: The Prahova catchment (Romania)","volume":"11","author":"Zaharia","year":"2017","journal-title":"Front. Earth Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.5194\/nhess-15-1907-2015","article-title":"Continental Portuguese Territory Flood Susceptibility Index\u2014Contribution to a vulnerability index","volume":"15","author":"Jacinto","year":"2015","journal-title":"Nat. Hazards Earth Sys. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.2166\/wp.2018.077","article-title":"Flood maps and their potential role in local spatial planning: A case study from Slovakia","volume":"20","author":"Vojtek","year":"2018","journal-title":"Water Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1080\/19475705.2021.1912835","article-title":"Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: A case study from Slovakia","volume":"12","author":"Vojtek","year":"2021","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s12040-017-0828-9","article-title":"Flash-flood potential assessment and mapping by integrating the weights-of-evidence and frequency ratio statistical methods in GIS environment\u2014Case study: \u00e2sca Chiojdului River catchment (Romania)","volume":"126","author":"Costache","year":"2017","journal-title":"J. Earth Syst. Sci."},{"key":"ref_12","first-page":"97","article-title":"GIS-based Approach to Estimate Surface Runoff in Small Catchments: A Case Study","volume":"35","author":"Vojtek","year":"2016","journal-title":"Quaest. Geogr."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Petrikovi\u010dov\u00e1, L., Rampa\u0161ekov\u00e1, Z., and Sobock\u00e1, J. (2020). A Detailed Identification of Erosionally Endangered Agricultural Land in Slovakia (Case Study of Nitra Upland). Sustainability, 12.","DOI":"10.3390\/su12124863"},{"key":"ref_14","first-page":"201","article-title":"Rozd\u00edly v odtokov\u00fdch pom\u011brech z krystalinick\u00fdch a fly\u0161ov\u00fdch \u00fazem\u00ed na Morav\u011b a ve Slezsku","volume":"56","year":"2008","journal-title":"J. Hydrol. Hydromech."},{"key":"ref_15","first-page":"104","article-title":"Land Use Change and Its Impact on Surface Runoff from Small Basins: A Case of Radi\u0161a Basin","volume":"61","author":"Vojtek","year":"2019","journal-title":"Folia Geogr."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Shrestha, S., Cui, S., Xu, L., Wang, L., Manandhar, B., and Ding, S. (2021). Impact of Land Use Change Due to Urbanisation on Surface Runoff Using GIS-Based SCS\u2013CN Method: A Case Study of Xiamen City, China. Land, 10.","DOI":"10.3390\/land10080839"},{"key":"ref_17","first-page":"539","article-title":"Raster procedures for multi-criteria\/multi-objective decisions","volume":"61","author":"Eastman","year":"1995","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_18","unstructured":"Malczewski, J. (1999). GIS and Multicriteria Decision Analysis, John Wiley & Sons."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.scitotenv.2019.02.328","article-title":"A flood susceptibility model at the national scale based on multicriteria analysis","volume":"667","author":"Santos","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1080\/12265934.2006.9693597","article-title":"Proposal for a Standard in Cartographic Visualization of Natural Risks and Disasters","volume":"10","author":"Bandrova","year":"2006","journal-title":"Int. J. Urban Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1007\/s11600-021-00586-6","article-title":"Application of entropy weighting method for urban flood hazard mapping","volume":"69","author":"Malekinezhad","year":"2021","journal-title":"Acta Geophys."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Li, X., Yan, D.H., Wang, K., Weng, B., Qin, T., and Liu, S. (2019). Flood risk assessment of global watersheds based on multiple machine learning models. Water, 11.","DOI":"10.3390\/w11081654"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s12665-018-8003-4","article-title":"Multi-hazard assessment modeling via multi-criteria analysis and GIS: A case study","volume":"77","author":"Skilodimou","year":"2019","journal-title":"Environ. Earth Sci."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zardari, H., Ahmed, K., Shirazi, S.M., and Yusop, Z.B. (2015). Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management, Springer.","DOI":"10.1007\/978-3-319-12586-2"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Saaty, T.L. (1980). The Analytic Hierarchy Process, McGraw Hill Company.","DOI":"10.21236\/ADA214804"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1007\/s12517-018-3933-4","article-title":"Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India","volume":"11","author":"Das","year":"2018","journal-title":"Arab. J. Geosci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.jclepro.2018.06.047","article-title":"Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East","volume":"196","author":"Mahmoud","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1080\/02626667.2011.555836","article-title":"Flood management and a GIS modelling method to assess flood-hazard areas\u2014A case study","volume":"56","author":"Kourgialas","year":"2011","journal-title":"Hydrol. Sci. J."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Wang, Y., Hong, H., Chen, W., Li, S., Pamu\u010dar, D., Gigovi\u0107, L., Drobnjak, S., Bui, D.T., and Duan, H. (2019). A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China. Remote Sens., 11.","DOI":"10.3390\/rs11010062"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Dano, U.L., Balogunm, A.L., Matori, A.N., Yusouf, K.W., Abubakar, I.R., Mohamed, M.A.S., Aina, Y.A., and Pradhan, B. (2019). Flood Susceptibility Mapping Using GIS-Based Analytic Network Process: A Case Study of Perlis, Malaysia. Water, 11.","DOI":"10.3390\/w11030615"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.jhydrol.2019.02.034","article-title":"A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method","volume":"572","author":"Arabsheibani","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.jhydrol.2019.03.073","article-title":"A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods","volume":"573","author":"Khosravi","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Abdullah, M.F., Siraj, S., and Hodgett, R.E. (2021). An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events. Water, 13.","DOI":"10.3390\/w13101358"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Tabarestani, E.S., and Afzalimehr, H. (2021). A comparative assessment of multi-criteria decision analysis for flood susceptibility modelling. Geocarto Int., 1\u201324.","DOI":"10.21203\/rs.3.rs-202961\/v1"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.scitotenv.2019.01.021","article-title":"A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran","volume":"660","author":"Arabameri","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"106620","DOI":"10.1016\/j.ecolind.2020.106620","article-title":"GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naive Bayes tree, bivariate statistics and logistic regression: A case of Top\u013ea basin, Slovakia","volume":"117","author":"Ali","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2765","DOI":"10.5194\/nhess-11-2765-2011","article-title":"Flood susceptibility assessment in a highly urbanized alluvial fan: The case study of Sala Consilina (southern Italy)","volume":"11","author":"Santangelo","year":"2011","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1080\/19475705.2015.1045043","article-title":"Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis","volume":"7","author":"Rahmati","year":"2016","journal-title":"Geomat. Nat. Hazards Risk."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.scitotenv.2017.09.262","article-title":"Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms","volume":"615","author":"Termeh","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.envsoft.2017.06.012","article-title":"A novel hybrid artificial intelligence approach for flood susceptibility assessment","volume":"95","author":"Chapi","year":"2017","journal-title":"Environ. Model. Softw."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s12040-017-0819-x","article-title":"Forecasting flood-prone areas using Shannon\u2019s entropy model","volume":"126","author":"Haghizadeh","year":"2017","journal-title":"J. Earth Sys. Sci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.3390\/rs11131589","article-title":"Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model","volume":"11","author":"Khosravi","year":"2019","journal-title":"Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"101206","DOI":"10.1016\/j.gsf.2021.101206","article-title":"Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India","volume":"12","author":"Das","year":"2021","journal-title":"Geosci. Front."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.scitotenv.2017.05.197","article-title":"A national scale flood hazard mapping methodology: The case of Greece\u2014Protection and adaptation policy approaches","volume":"601\u2013602","author":"Kourgialis","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1016\/j.scitotenv.2017.10.037","article-title":"Mapping flood susceptibility in mountainous areas on a national scale in China","volume":"615","author":"Zhao","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_46","unstructured":"Maz\u00far, E., and Lukni\u0161, M. (1986). Geomorfologick\u00e9 \u010clenenie SSR a \u010cSSR. \u010cas\u0165 Slovensko, Slovensk\u00e1 Kartografia."},{"key":"ref_47","first-page":"95","article-title":"Anal\u00fdza v\u00fdskytu povod\u0148ov\u00fdch situ\u00e1ci\u00ed na Slovensku v obdob\u00ed rokov 1996\u20132006","volume":"56","year":"2008","journal-title":"J. Hydrol. Hydromech."},{"key":"ref_48","unstructured":"Cronshey, R., McCuen, R.H., Miller, N., Rawls, W., Robbins, S., and Woodward, D. (1986). Urban Hydrology for Small Watersheds (TR-55)."},{"key":"ref_49","unstructured":"Hrn\u010diarov\u00e1, T. (2002). Zrnitos\u0165 p\u00f4dy. Atlas Krajiny Slovenskej Republiky, SA\u017dP. M\u017dP SR."},{"key":"ref_50","first-page":"311","article-title":"Hodnotenie Potenci\u00e1lnej Zranite\u013enosti Z\u00e1sob Podzemn\u00fdch v\u00f4d pre ekologick\u00e9 pl\u00e1novanie krajiny","volume":"27","year":"1993","journal-title":"\u017divotn. Prostr."},{"key":"ref_51","unstructured":"Hrn\u010diarov\u00e1, T. (2002). In\u017einierskogeologick\u00e1 rajoniz\u00e1cia. Atlas Krajiny Slovenskej Republiky, SA\u017dP. M\u017dP SR."},{"key":"ref_52","unstructured":"Demek, J. (1972). Manual of Detailed Geomorphological Mapping, Academia."},{"key":"ref_53","unstructured":"Lukni\u0161, M. (1972). Reli\u00e9f. Slovensko 2\u2014Pr\u00edroda, Obzor."},{"key":"ref_54","first-page":"459","article-title":"Multi-attribute decision analysis in GIS: Weighted linear combination and ordered weighted averaging","volume":"33","author":"Drobne","year":"2009","journal-title":"Informatica"},{"key":"ref_55","first-page":"559","article-title":"Single-parameter sensitivity analysis for aquifer vulnerability assessment using drastic and sintacs","volume":"Volume 235","author":"Napolitano","year":"1996","journal-title":"IAHS Publications-Series of Proceedings and Reports"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1016\/j.scitotenv.2015.08.055","article-title":"Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope\u2013Evros region, Greece","volume":"538","author":"Kazakis","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/s12517-019-4754-9","article-title":"Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)","volume":"12","author":"Hammami","year":"2019","journal-title":"Arab. J. Geosci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"101253","DOI":"10.1016\/j.gsf.2021.101253","article-title":"A novel index to evaluate discretization methods: A case study of flood susceptibility assessment based on random forest","volume":"12","author":"Tang","year":"2021","journal-title":"Geosci. Front."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Ajibade, F.O., Ajibade, T.F., Idowu, T.E., Nwogwu, N.A., Adelodun, B., Lasisi, K.H., Opafola, O.T., Ajala, O.A., Fadugba, O.G., and Adewumi, J.R. (2021). Flood-prone area mapping using GIS-based analytical hierarchy frameworks for Ibadan city, Nigeria. J. Multi-Criteria Decis. Anal.","DOI":"10.1002\/mcda.1759"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s11069-016-2357-2","article-title":"A GIS-based flood susceptibility assessment and its mapping in Iran: A comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique","volume":"83","author":"Khosravi","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_61","first-page":"60","article-title":"Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India","volume":"14","author":"Das","year":"2019","journal-title":"Remote Sens. App. Soc. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.catena.2018.12.011","article-title":"Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques","volume":"175","author":"Tehrany","year":"2019","journal-title":"Catena"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Pasman, H.J., and Kirillov, I.A. (2008). Spatial Data Infrastructure and Geovisualization in Emergency Management. Resilience of Cities to Terrorist and other Threats. NATO Science for Peace and Security Series Series C: Environmental Security, Springer.","DOI":"10.1007\/978-1-4020-8489-8"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/9\/578\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:53:25Z","timestamp":1760165605000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/9\/578"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,27]]},"references-count":63,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["ijgi10090578"],"URL":"https:\/\/doi.org\/10.3390\/ijgi10090578","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,27]]}}}