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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)
[article]
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 urbaineRésumé : (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
in Cartographica > vol 56 n° 4 (Winter 2021) . - pp 267 - 283[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2021041 SL Revue Centre de documentation Revues en salle Disponible Qualitative GIS: An Open Framework Using SpatiaLite and Open Source GIS / Ryan Garnett in Transactions in GIS, vol 20 n° 1 (February 2016)
[article]
Titre : Qualitative GIS: An Open Framework Using SpatiaLite and Open Source GIS Type de document : Article/Communication Auteurs : Ryan Garnett, Auteur ; Pavlov Kanaroglou, Auteur Année de publication : 2016 Article en page(s) : pp 144 – 159 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] environnement de développement
[Termes IGN] logiciel libre
[Termes IGN] prise en compte du contexte
[Termes IGN] SIG qualitatif
[Termes IGN] SpatiaLite
[Termes IGN] SQL
[Termes IGN] système de gestion de base de donnéesRésumé : (auteur) Qualitative GIS is a relatively new methodological approach for analyzing and visualizing qualitative data within a geographic context. Qualitative data can take many forms, including interviews, documents, photographs, and audio and video clips. Content analysis for example, is an effective qualitative method for analyzing text-based data. We argue that basic concepts, (i.e. how to store data, data requirements, visualization techniques, and modes of analysis) within qualitative GIS have not been adequately defined, rendering difficult the replication of work performed and hindering the development of incremental knowledge in the field. Database management systems provide a means for storing, managing, and analyzing qualitative GIS data. A standardized and well-designed open source database system provides a mechanism for qualitative GIS projects, ensuring consistency and project replication. Qualitative GIS data stored in a database allows for additional visualization options, such as geographic word clouds. To demonstrate the concepts we performed content analysis on Master Transportation Plans from Calgary and Montreal using SpatiaLite, an open source database system. We developed Structured Query Language (SQL) queries to generate and populate groups and theme tables within the SpatiaLite database. We present our database design and queries in the hopes that they will help others conducting qualitative GIS research. Numéro de notice : A2016-447 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12163 En ligne : http://dx.doi.org/10.1111/tgis.12163 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81356
in Transactions in GIS > vol 20 n° 1 (February 2016) . - pp 144 – 159[article]