Invariant Spatial Information in sketch maps - a study of survey sketch maps of urban areas

Wang J, Schwering A

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

It is commonly recognized that free-hand sketch maps are influenced by cogni-tive impacts and therefore sketch maps are incomplete, distorted, and schematized. Thismakes it difficult to achieve a one-to-one alignment between a sketch map and its corre-sponding geo-referenced metric map. Nevertheless, sketch maps are still useful to commu-nicate spatial knowledge, indicating that sketch maps contain certain spatial informationthat is robust to cognitive impacts. In existing studies, sketch maps are used frequentlyto measure cognitive maps. However, little work has been done on invariant spatial in-formation in sketch maps, which is the information of spatial configurations representingcorrectly the real world. We aim to study suchinformation from a cognitive perspective.This paper first presents basic spatial objectsidentified in sketch maps and then introducessketch aspects that capture invariant spatialinformation. The accuracy and reliability ofthese aspects were evaluated by a human study. We collected sketch maps from partici-pants, extracted and measured spatial relations of identified spatial objects, and in the endanalyzed the accuracy and statistical significance of these relations. Based on the statisti-cal survey, we propose in this paper a set of seven sketch aspects that constitute invariantspatial information, along with a spatial analysis method to measure them. The findings ofthese aspects help to understand which spatial information is preserved under the trans-formation from the physical world to human sketch maps

Details zur Publikation

Jahrgang / Bandnr. / Volume11
Seitenbereich31-52
StatusVeröffentlicht
Veröffentlichungsjahr2015
Sprache, in der die Publikation verfasst istEnglisch
DOI10.5311/JOSIS.2015.11.2
Link zum Volltexthttp://www.josis.org/index.php/josis/article/viewFile/225/147
Stichwörtersketch map; sketch aspect; invariant spatial information; cognitive impact

Autor*innen der Universität Münster

Schwering, Angela
Professur für Geoinformatik (Prof. Schwering) (SIL)
Wang, Jia
Institut für Geoinformatik (ifgi)