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Title:Orodje za prostorsko-časovno analizo stanj poslovnih subjektov v Sloveniji : magistrsko delo
Authors:ID Tovornik, Jan (Author)
ID Mongus, Domen (Mentor) More about this mentor... New window
Files:.pdf MAG_Tovornik_Jan_2020.pdf (7,13 MB)
MD5: 4B31199D3D155957B467557288DD5417
PID: 20.500.12556/dkum/2886bfd5-2c22-4d76-bc19-a166fcdd1242
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[J. Tovornik]
Year of publishing:2020
Number of pages:IX, 41 f.
PID:20.500.12556/DKUM-76521 New window
UDC:004.2:519.256(043.2)
COBISS.SI-ID:27122947 New window
NUK URN:URN:SI:UM:DK:Z99FQ1UM
Publication date in DKUM:03.07.2020
Views:1142
Downloads:99
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:04.06.2020

Secondary language

Language:English
Title:A tool for spatiotemporal analysis of business subjects in Slovenia
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.
Keywords:spatiotemporal analytics, geographic information systems, spatial correlation, visual analytics


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