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Digitizing and visualizing sketch map data: A semi-structured approach to qualitative GIS / Christopher Prener in Cartographica, vol 56 n° 4 (Winter 2021)  

Public [article]  inCartographica > vol 56 n° 4 (Winter 2021) . - pp 267 - 283 Titre : Digitizing and visualizing sketch map data: A semi-structured approach to qualitative GIS Type de document : Article/Communication Auteurs : Christopher Prener, Auteur Année de publication : 2021 Article en page(s) : pp 267 - 283 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] collecte de données [Termes IGN] croquis topographique [Termes IGN] numérisation [Termes IGN] perception [Termes IGN] R (langage) [Termes IGN] SIG qualitatif [Termes IGN] visualisation [Termes IGN] zone urbaine Résumé : (auteur) Sketch mapping provides an intuitive means for collecting respondents’ impressions about space and place alongside qualitative data collection approaches. However, the data collected are often challenging to work with, particularly by digitization and visualization. After reviewing these challenges, this article introduces a “semi-structured” approach to sketch map data collection, digitization, and analysis and an open-source software package, “qualmap,” that implements tools for digitizing these data in the programming language R. This approach retains the cartographically accurate base maps used in other sketch map research. However, it superimposes an areal unit of the researchers’ choice to aid in digitization and analysis. The use of a standard areal unit creates additional cartographic and analytic possibilities. The applicability of this approach is illustrated with a sample project that analyzes perceptions of space collected from a convenience sample of college students. The resulting maps’ clustering identifies a “bubble” around their campus that captures much of the travel activity students engage in every week. These data are paired with crime data, which illustrates possible mixed methods extensions of this “semi-structured” approach to sketch mapping. Numéro de notice : A2021-682 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2020-0030 Date de publication en ligne : 02/12/2021 En ligne : https://doi.org/10.3138/cart-2020-0030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99225 [article]

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