Research of methods of geoinformation modeling to support the activities of humanitarian organizations
Students Name: Solskyi Rostyslav Andriiovych
Qualification Level: magister
Speciality: Geoinformation System and Technology
Institute: Institute of Geodesy
Mode of Study: full
Academic Year: 2022-2023 н.р.
Language of Defence: англійська
Abstract: All over the world, there are a large number of humanitarian problems and disasters caused by natural disasters, economic problems, political decisions or military conflicts. First of all, the civilian population suffers from this and needs help. Humanitarian organizations provide various types of free aid, primarily with means of living. The development of GIS technologies makes it possible to develop methods for data collection and to ensure the activities of humanitarian organizations in the fields of logistics, security, or medical activities. Open sources of data, which are created and updated through crowdsourcing, provide material for geoinformation modeling, which in turn provides an opportunity to solve many humanitarian problems and create information collection applications for volunteers. Object of study. Creation of a data collection project to help people who suffered as a result of artillery shelling in the village of Sadove, Mykolaiv region. Subject of study. Implementation of the methodology for creating data collection software with subsequent visualization and analysis. In the first chapter of the master’s work, the literature on the topic of the study was analyzed, the concept of crowdsourcing [Howe, 2006], the main principles and possibilities of its use were considered. As well as an analysis of open data sources and the possibility of their application [Maistrenko, 2017]. The second section of the master’s thesis includes the analysis of programs for geoinformation modeling [Ortiz, 2020]. The ArcGIS Online GIS package was examined in detail as a software to help humanitarian organizations, and the search and analysis of open sites with open information for the creation of GIS products was performed. [Kovacs, 2007] In the third chapter of the master’s thesis, an experimental study was conducted in the ArcGIS Online software package, namely, a map of evacuation routes was created, a data collection form was created in the Field Maps application and visualized using geoinformation modeling in the Dashboards application. As a result, a ready-made method of data collection for mobile teams with the possibility of online editing and automatic visualization was obtained. Key words: open data sources, crowdsourcing, ArcGIS Online, Field Maps, geospatial modeling, humanitarian organizations. REFERENCES 1. Howe, J. (2006). The rise of crowdsourcing. Wired magazine, 14(6), 1-4. URL: https://www.wired.com/2006/06/crowds/ 2. Maistrenko O. V. (2017). Crowdsourcing: essence, types, principles and application tools. Economy and society, (9), 507-511. URL: https://chmnu.edu.ua/wp-content/uploads/2019/06/Ekonomika-i-suspilstvo-9-2017.pdf#page=507 3. Ortiz, D. A. (2020). Geographic Information Systems (GIS) in humanitarian assistance: a meta-analysis. Pathways: A Journal of Humanistic and Social Inquiry, 1(2), 4. URL: https://repository.upenn.edu/cgi/viewcontent.cgi?article=1023&context=pathways_journal 4. Kovacs, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International journal of physical distribution & logistics management. URL: https://www.emerald.com/insight/content/doi/10.1108/09600030710734820/full/html