Orodje za prostorsko-časovno analizo stanj poslovnih subjektov v Sloveniji

magistrsko delo

Jan Tovornik (Author), Domen Mongus (Mentor)

Abstract

V magistrskem delu opišemo postopek izdelave orodja za prostorsko-časovno analitiko. V ta namen najprej predstavimo osnovne gradnike tehnološkega sklada, ki ga sestavljajo strežnik GeoServer, knjižnice JavaScript Chart.js, OpenLayers ter Bootstrap, ogrodje Spring in podatkovna baza PostgreSQL. S teoretičnega vidika opišemo implementirana analitična orodja, kot so Pearsonova, Spearmanova ter Kendallova korelacija, metoda drsečih povprečij, s katero smo računali trend, ter orodja za vizualno analitiko z grafi. Validacijo orodja smo izvedli nad testno množico podatkov o poslovnih subjektih v Sloveniji in z njo pokazali stabilnost in pravilnost delovanja orodja.

Keywords

časovno-prostorska analitika;geografski informacijski sistemi;prostorska korelacija;vizualna analitika;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[J. Tovornik]
UDC:	004.2:519.256(043.2)
COBISS:	27122947
Views:	489
Downloads:	56
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	A tool for spatiotemporal analysis of business subjects in Slovenia
Secondary abstract:	In this thesis we describe the process of developing the tool for spatiotemporal data analysis. We first introduce the technology stack used during this process. This includes GeoServer, JavaScript libraries Chart.js, OpenLayers and Bootstrap, Spring framework and PostgreSQL database. From theoretical point of view, we describe the implemented analytical tools, such as Pearson's, Spearman's and Kendall's correlation, the moving average by which we calculated the trend, and visual analytics tools based on graphs. Validation of the tool was carried out over a test set of data of business entities in Slovenia, which showed the tool's stability and correctness.
Secondary keywords:	spatiotemporal analytics;geographic information systems;spatial correlation;visual analytics;
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	IX, 41 f.
ID:	11792606