2020
DOI: 10.31235/osf.io/p9qn5
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A Semi-Structured Approach to Sketch Mapping and Qualitative GIS

Abstract: 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 with digitization and visualization. After reviewing these challenges, this article introduces a “semi-structured” approach to sketch map data collection, digitization, and analysis as well as an open source software package, “qualmap,” that implements tools for digitizing these dat… Show more

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Cited by 3 publications
(2 citation statements)
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“…Additional zip-code level information (rural population, percent of family homes, and housing unit estimates) were obtained through the Integrated Public Use Microdata Series (IPUMS) National Historical Geographic Information System [16]. This information was then used to create bivariate choropleth maps in R [17,18], using median values to classify intensity. Relative PICU admissions were calculated for all ZCTAs as the count of standardized PICU admissions divided by the total combined count of standardized PICU and non-PICU admissions and given as a percent (Supplemental Figs 2-4).…”
Section: Methodsmentioning
confidence: 99%
“…Additional zip-code level information (rural population, percent of family homes, and housing unit estimates) were obtained through the Integrated Public Use Microdata Series (IPUMS) National Historical Geographic Information System [16]. This information was then used to create bivariate choropleth maps in R [17,18], using median values to classify intensity. Relative PICU admissions were calculated for all ZCTAs as the count of standardized PICU admissions divided by the total combined count of standardized PICU and non-PICU admissions and given as a percent (Supplemental Figs 2-4).…”
Section: Methodsmentioning
confidence: 99%
“…Spatial data management, risk score calculation, descriptive statistics, and Moran's I analyses were conducted in the R statistical computing environment 40 with specialized packages. [41][42][43][44] Final maps were created using ArcGIS 10.8. 45…”
Section: Spatial Clusteringmentioning
confidence: 99%