PMID- 31908982
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240327
IS  - 2215-0161 (Print)
IS  - 2215-0161 (Electronic)
IS  - 2215-0161 (Linking)
VI  - 6
DP  - 2019
TI  - GIS automated multicriteria analysis (GAMA) method for susceptibility modelling.
PG  - 2553-2561
LID - 10.1016/j.mex.2019.10.031 [doi]
AB  - Developed GIS automated multicriteria analysis (GAMA) method presented in this 
      article allows automation and simplification of multicriteria GIS decision 
      analysis (GIS-MCDA) susceptibility modelling. Traditional GIS-MCDA susceptibility 
      modelling still represents time and labor demanding process, whose success is 
      highly influenced by the user's experience and knowledge. In order to make 
      overall GIS-MCDA susceptibility modelling process more straightforward and 
      practical, GAMA method is designed as easy to use three step process, which 
      allows automation of following GIS-MCDA steps: (1) standardization of criteria, 
      (2) criteria grouping and weight assignment and (3) susceptibility model 
      aggregation. GAMA method is developed within ArcGIS 10.4 ModelBuilder 
      application, as a toolset that can be easily shared and incorporated within 
      default ESRI's ArcGIS toolbox. GAMA was successfully applied for gully erosion 
      susceptibility modelling on example of Pag island, Croatia, whose results are 
      published in separate article. Since GAMA method is applicable to various 
      GIS-MCDA susceptibility modelling purposes we are encouraging its future use and 
      therefore open-source GAMA method toolset can be acquired for research purposes 
      (htps://gal.unizd.hr). *GAMA method simplifies overall GIS-MCDA susceptibility 
      modelling process.*GAMA allows automated standardization, grouping, weight 
      coefficient assignment and aggregation of GIS-MCDA's criteria.*GAMA method has 
      broad application in various different GIS-MCDA susceptibility modelling 
      purposes.
CI  - (c) 2019 Hrvatska zaklada za znanost; Sveu\\riliate u Zadru.
FAU - Domazetovic, Fran
AU  - Domazetovic F
AD  - Department of Geography, Center for Karst and Coastal Researches, Geospatial 
      Analysis Laboratory, University of Zadar, Trg kneza Viseslava 9, 23000, Zadar, 
      Croatia.
FAU - Siljeg, Ante
AU  - Siljeg A
AD  - Department of Geography, Center for Karst and Coastal Researches, Geospatial 
      Analysis Laboratory, University of Zadar, Trg kneza Viseslava 9, 23000, Zadar, 
      Croatia.
FAU - Loncar, Nina
AU  - Loncar N
AD  - Department of Geography, Center for Karst and Coastal Researches, Geospatial 
      Analysis Laboratory, University of Zadar, Trg kneza Viseslava 9, 23000, Zadar, 
      Croatia.
FAU - Maric, Ivan
AU  - Maric I
AD  - Department of Geography, Center for Karst and Coastal Researches, Geospatial 
      Analysis Laboratory, University of Zadar, Trg kneza Viseslava 9, 23000, Zadar, 
      Croatia.
LA  - eng
PT  - Journal Article
DEP - 20191102
PL  - Netherlands
TA  - MethodsX
JT  - MethodsX
JID - 101639829
PMC - PMC6939047
OTO - NOTNLM
OT  - ArcGIS
OT  - Automated GIS-MCDA
OT  - GAMA
OT  - GAMA (GIS automated multicriteria analysis)
OT  - Gully erosion
OT  - ModelBuilder
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2020/01/08 06:00
MHDA- 2020/01/08 06:01
PMCR- 2019/11/02
CRDT- 2020/01/08 06:00
PHST- 2019/09/28 00:00 [received]
PHST- 2019/10/29 00:00 [accepted]
PHST- 2020/01/08 06:00 [entrez]
PHST- 2020/01/08 06:00 [pubmed]
PHST- 2020/01/08 06:01 [medline]
PHST- 2019/11/02 00:00 [pmc-release]
AID - S2215-0161(19)30296-1 [pii]
AID - 10.1016/j.mex.2019.10.031 [doi]
PST - epublish
SO  - MethodsX. 2019 Nov 2;6:2553-2561. doi: 10.1016/j.mex.2019.10.031. eCollection 
      2019.