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Title: TOWARDS THE INVESTMENT POTENTIAL ASSESSMENT USING SPATIAL DATA MULTI-CRITERIA ANALYSIS AND LINEAR REGRESSION
TOWARDS THE INVESTMENT POTENTIAL ASSESSMENT USING SPATIAL DATA MULTI-CRITERIA ANALYSIS AND LINEAR REGRESSION

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Josip Lisjak; Hrvoje Tomic; Ante Roncevic; Miodrag Roic
10.5593/sgem2022/2.1/s08.19
10.5593/sgem2022/2.1
1314-2704
978-619-7603-40-8
English
22
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Geoinformatics
The paper presents the results of research on the possibility of calculating the investment potential of a particular area based on its spatial characteristics. The level of spatial unit in this research is local administrative unit (cities or municipalities), while the geographic coverage is entire area of Republic of Croatia. Regarding the method, the results could be applied internationally and are not limited to national borders. Furthermore, when deciding on investing, it is important to know the risk. This risk in the pre-investment cycle is generally estimated on the basis of well-known wellestablished economic methods - without applying multiple criteria in the potential assessment and, among others, criteria of spatial characteristics as one of the most influential ones. Therefore, there was a need to model the investment potential as a precondition for risk calculations based on spatial criteria, which was carried out through this research using multi-criteria GIS analysis. The research in this paper is focused on testing the correlation of spatial features of certain local unit with its development index. The source data used are existing spatial data in the National Spatial Data Infrastructure (NSDI) platform, open data, and the development index as a composite index. The paper shows the results of OLS method and conclusions about influence from certain spatial characteristics on development index, and accordingly the location investment potential based on the results can be modelled.
[1] Ministry of Regional Development and EU Funds, Decision on Classification of Local and Regional Self-Government Units by Level of Development, Official Gazetteer, 132/2017, 2017.;
[2] Jurisic, M., Plascak, I., Ravlic, S., Application of Geographic Information Systems (GIS) and multi-criteria decision analysis (MCDA) in the natural resources management, Interdisciplinary Management Research XIV, 2018.;
[3] Kuburic, M., Tomic, H., Mastelic Ivic, S., Use of Multicriteria Valuation of Spatial Units in a System of Mass Real Estate Valuation, Kartografija i geoinformacije, nr. 17, vol. 11, 2012.;
[4] Argiolas, M., A GIS based system for minimizing acquisition risk in Real Estate property market, DOI: 10.13128/Aestimum-13144, 2013.;
[5] Bateman, I. J., Lovett, A. A., Brainard, J., Applied Environmental Economics: A GIS Approach to Cost-Benefit Analysis, DOI: 10.1017/CBO9780511493461, 2003.;
[6] Bateman, I. J., Lovett, A. A., Jones, A. P., Lake, I., Applying Geographical Information Systems (GIS) to Environmental and Resource Economics, DOI: 10.1023/A:1015575214292, 2002.;
[7] Tomic, H., Geospatial Data Analysis in Purpose of Real Estate Valuation in Urban Areas, doctoral thesis, University in Zagreb, Faculty of Geodesy, 2010.;
[8] LeSage, J., An Introduction to Spatial Econometrics, Revue d'economie industrielle, vol. 123, issue 3, 19-44, DOI: 10.4000/rei.3887, 2008.;
[9] State Geodetic Administration, NSDI Geoportal, https://geoportal.nipp.hr/ (19.10.2021.);
[10] Sosic, I., Primijenjena statistika, Skolska knjiga, Zagreb, 2012.
[11] Petz, B., Osnovne statisticke metode za nematematicare, 4th edition, Naklada Slap, 2002.;
[12] Horvat, J., Mijoc, J., Osnove statistike, Naklada Ljevak, Zagreb, 2012.;
conference
https://doi.org/10.5593/sgem2022/2.1/s08.19
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
153-160
04 - 10 July, 2022
website
8486
multi-criteria analysis, GIS, linear regression, investment potential, development index