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Analiza pomena geolokacije kot funkcije časa : doktorska disertacija
ID Triglav, Joc (Author), ID Stopar, Bojan (Mentor) More about this mentor... This link opens in a new window, ID Petrovič, Dušan (Co-mentor)

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PID: 20.500.12556/rul/dcc62516-716e-424f-b891-252154f56b3b

Abstract
Ena od ključnih nalog sodobne geodetske znanosti je zagotavljanje enotne prostorske in časovne osnove geoinformacijski znanosti in njenemu širokemu razponu aplikacijskih področij. V disertaciji razvijemo možen način analize pomena geolokacije kot funkcije časa z uporabo STEM matrik prostorsko-časovnih ocenitev in INSTANT matrik indeksa prostorsko-časovnih predvidevanj. Globalna geoprostorska skupnost vlaga precejšnje napore v zagotavljanje orodij za analizo kakovosti in sistematiziranje kriterijev kakovosti geoprostorskih podatkov. Pomembnost teh aktivnosti narašča, posebej v zadnjem desetletju, ko smo priča ogromnemu splošnemu povečanju uporabe geoprostorskih podatkov, zlasti med masovnimi uporabniki. Čeprav se proizvajalci geoprostorskih podatkov trudijo definirati in predstaviti standarde kakovosti podatkov uporabnikom ter le-ti vedno bolj potrebujejo ocenitve primernosti podatkov za uporabo, je uspeh teh aktivnosti še vedno daleč od pričakovane in zahtevane ravni. Rezultat tega je, da ima zanemarjanje ali nerazumevanje kakovosti podatkov med uporabniki za posledico napačno uporabo ali tveganja. S pomočjo preprostih orodij matrik STEM in INSTANT lahko proizvajalci geoprostorskih podatkov sistematično razvrščajo in grafično predstavijo prostorsko-časovno ločljivost njihovih podatkov, uporabniki pa lahko svoje potrebe predstavijo na enak način z uporabo načel poslovnega obveščanja z Web 2.0 pristopom. V disertaciji predstavimo osnovna načela s številnimi primeri razvrščanja, na kratko pa opišemo tudi zanimive možnosti nadaljnjih raziskovalnih aktivnosti.

Language:Slovenian
Keywords:geodezija, disertacije, kakovost geoprostorskih podatkov, prostorsko-časovna ocenitev, vizualizacija, primernost za uporabo, povratna komunikacija
Work type:Dissertation
Typology:2.08 - Doctoral Dissertation
Organization:FGG - Faculty of Civil and Geodetic Engineering
Place of publishing:Ljubljana
Publisher:[J. Triglav]
Year:2012
Number of pages:XIV, 150 str.
PID:20.500.12556/RUL-32612 This link opens in a new window
UDC:528./529:659.2:004.05(043.3)
COBISS.SI-ID:5692513 This link opens in a new window
Publication date in RUL:10.07.2015
Views:2658
Downloads:435
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Secondary language

Language:English
Title:Analysis of the Geolocation Significance as a Function of Time
Abstract:
One of the crucial tasks of geodetic science in the modern era is to provide its unified spatial and temporal reference to geoinformation science and its wide area of application fields. In the dissertation we elaborate a possible way of analysis of the geolocation significance as a function of time and present an aid in spatio-temporal quality evaluation through the use of spatio-temporal evaluation matrices (STEM) and the index of spatio-temporal anticipations (INSTANT) matrices. The global geospatial community is investing substantial effort in providing tools for geospatial data quality information analysis and systematizing the criteria for geospatial data quality. The importance of these activities is increasing, especially in the last decade, which has witnessed an enormous expansion of geospatial data use in general and especially among mass users. Although geospatial data producers are striving to define and present data-quality standards to users and users increasingly need to assess the fitness for use of the data, the success of these activities is still far from what is expected or required. As a consequence, neglect or misunderstanding of data quality among users results in misuse or risks. With the help of the simple tools of STEM and INSTANT matrices, geospatial data producers can systematically categorize and visualize the granularity of their spatio-temporal data, and users can present their requirements in the same way using business intelligence principles and a Web 2.0 approach. In the dissertation we present the basic principles with numerous categorized examples and also briefly describe interesting potential further applied research activities.

Keywords:doctoral thesis, geospatial data quality, spatio-temporal evaluation, visualization, fitness for use, communication feedback

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