Automatic sketch map creation from labeled planar graph
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10254740" target="_blank" >RIV/61989100:27240/24:10254740 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27350/24:10254740
Výsledek na webu
<a href="https://www.tandfonline.com/doi/full/10.1080/13658816.2024.2330064" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13658816.2024.2330064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/13658816.2024.2330064" target="_blank" >10.1080/13658816.2024.2330064</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automatic sketch map creation from labeled planar graph
Popis výsledku v původním jazyce
Maps constructed in Euclidean space are commonly used to visually present information about the real world. However, their creation is resource intensive, be it financial, technical, human, or time-consuming, which can limit their timeliness and detail. A simpler form of visualization of data about the real world is represented by sketch maps, which mainly capture the topology and mutual features' spatial location. By default, they are drawn by hand. This presupposes that the creator has a good knowledge of the depicted territory, can create a cognitive map, and is skilled in transforming it into a graphical form. Sketch maps can be detailed and up-to-date if these prerequisites are met. Our question was whether it is possible to meet these assumptions in another way: acquire knowledge of the territory by processing narratives related to the area of interest, create a suitable computer representation for further processing, and automatically generate the resulting sketch map. This article presents the last step - creating a sketch map based on spatial data acquired from narratives. The results show that even without metric data, it is possible to automatically generate a sketch map visually close to the actual situation.
Název v anglickém jazyce
Automatic sketch map creation from labeled planar graph
Popis výsledku anglicky
Maps constructed in Euclidean space are commonly used to visually present information about the real world. However, their creation is resource intensive, be it financial, technical, human, or time-consuming, which can limit their timeliness and detail. A simpler form of visualization of data about the real world is represented by sketch maps, which mainly capture the topology and mutual features' spatial location. By default, they are drawn by hand. This presupposes that the creator has a good knowledge of the depicted territory, can create a cognitive map, and is skilled in transforming it into a graphical form. Sketch maps can be detailed and up-to-date if these prerequisites are met. Our question was whether it is possible to meet these assumptions in another way: acquire knowledge of the territory by processing narratives related to the area of interest, create a suitable computer representation for further processing, and automatically generate the resulting sketch map. This article presents the last step - creating a sketch map based on spatial data acquired from narratives. The results show that even without metric data, it is possible to automatically generate a sketch map visually close to the actual situation.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10508 - Physical geography
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Geographical Information Science
ISSN
1365-8816
e-ISSN
1362-3087
Svazek periodika
38
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
26
Strana od-do
981-1006
Kód UT WoS článku
001189477900001
EID výsledku v databázi Scopus
2-s2.0-85188333863