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Your search keyword '"Tomić, Hrvoje"' showing total 3 results
Start Over Author "Tomić, Hrvoje" Topic spatial data infrastructures Publication Year Range Last 3 years
3 results on '"Tomić, Hrvoje"'

1. Showcase of Active Learning and Teaching Practices in Spatial Data Infrastructure (SDI) Education

Author

Welle Donker, F.M., van Loenen, B., Kessler, Carsten, Küppers, Natalie, Panek, Mark, Mansourian, Ali, Zhao, Pengxiang, Vancauwenberghe, Glenn, Tomić, Hrvoje, Kević, Karlo, Parseliunas, E., Mansourian, A., Partsinevelos, P., Suziedelyte-Visockiene, J., Parseliunas, E., Mansourian, A., Partsinevelos, P., and Suziedelyte-Visockiene, J.

Subjects
Spatial Data Infrastructures, active learning and teaching technologies, ALT practices, General Earth and Planetary Sciences, Spatial data infrastructures, Open SDI, education, active learning and teaching methodologies, ALT practices, General Environmental Science, open SDI, Education
Abstract

The new concept of Open Spatial Data Infrastructures (Open SDIs) has emerged from an increased interest in open data initiatives together with national and international directives, such as the EU Open Data Directive (Directive (EU) 2019/1024), and the large investment of European public authorities in developing SDIs for sharing spatial data within public authorities. Open SDIs have the potential to boost reaching SDIs’ general aims and goals of facilitating the exchange and sharing of spatial data to support planning and decision-making by including public participation and increased openness in all aspects of SDIs, including Open SDI Education. The open SPatial data Infrastructure eDucation nEtwoRk (SPIDER) project aims to address Open SDI Education by particular emphasis on studying Active Learning and Teaching (ALT) methods for SDI education. This article provides a theoretical basis of ALT for SDI methodologies. We show in which way ALT practices were already implemented in SDI education at the Partner universities before the COVID-19 pandemic. We also describe how the pandemic functioned as a catalyst for implementing ALT practices to an online environment, and how students evaluated these practices. The outcomes of our research can serve as an inspiration for SDI education in other countries.

Published
2022

2. TOWARDS THE INVESTMENT POTENTIAL ASSESSMENT USING SPATIAL DATA MULTI-CRITERIA ANALYSIS AND LINEAR REGRESSION.

Author

Lisjak, Josip, Tomić, Hrvoje, Rončević, Ante, and Roić, Miodrag

Subjects
*REGRESSION analysis, *SPATIAL data infrastructures, *LINEAR statistical models, *GEOGRAPHIC information systems, *DATA analysis
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2022
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3. Review of Land Administration Data Dissemination Practices: Case Study on Four Different Land Administration System Types.

Author

Križanović, Josip, Pivac, Doris, Tomić, Hrvoje, and Mastelić-Ivić, Siniša

Subjects
LAND use, CADASTRES, SPATIAL data infrastructures, LAND cover, GEOGRAPHIC spatial analysis
Abstract

Land administration systems differ by their types and practices. The data dissemination practices are considered to be outdated, as in most cases the digitisation of land administration data was conducted to match the paper-based system. This paper reviews four different land administration data dissemination practices through four case studies, where each selected jurisdiction represents one land administration system type. The analysed LAS data dissemination practices were conducted for Croatia, England, New Zealand and Green County, OH, USA. The main goal of the analysis was to examine the differences and similarities between the respective countries' land data practices provided by the excerpts related to one parcel. The identified differences and similarities might be of great use when it comes to further improvement and standardisation of land administration data dissemination practices. [ABSTRACT FROM AUTHOR]

Published
2021
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