Denis White's research while affiliated with Oregon State University and other places

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Publications (3)

Figure 2. Dots with a pseudo-random distribution (left) and with...
Figure 3. Pseudo-random dots for the initialization step (left); CCVT...
Figure 4. Clusters identified by the DBSCAN algorithm in red (left)....
Figure 5. Final graduated dot map with three classes.
+2 Figure 8. Example of a 2 × 2 image matrix shown for map preference...
Creation and evaluation of graduated dot maps
Article
Full-text available
  • Aug 2017
Dot mapping is a traditional method for visualizing quantitative data, but current automated dot mapping techniques are limited. The most common automated method places dots pseudo-randomly within enumeration areas, which can result in overlapping dots and very dense dot clusters for areas with large values. These issues affect users’ ability to es...
Figure 1. The nine small-scale map projections used in the paired...
Figure 3. Significant differences in the preferences between the...
Figure 4. Wagner VII with rounded pole line corners.  
Figure 5. Miller with rounded pole line corners.  
User preferences for world map projections
Article
Full-text available
  • Feb 2015
Many small-scale map projections exist, and they have different shapes and distortion characteristics. World map projections are mainly chosen based on their distortion properties and the personal preferences of cartographers. Very little is known about the map projection preferences of map-readers; only two studies have addressed this question so...
User preferences for world map projections
Presentation
Full-text available
  • Oct 2014
Many small-scale map projections exist and they have different shapes and distortion characteristics. World map projections are mainly chosen based on their distortion properties and the personal aesthetic preferences of cartographers. Very little is known about the map projection preferences of map-readers; only two studies have addressed this que...

Citations

... The specific verification attempt of one of a small set of entries then led us to create a novel visual representation we call "Motion Plausibility Profiles" (Sec. 6). These allowed us to analyze the data from specific individual contributors. ...
Reference: Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as Well as Their Visualization
Creation and evaluation of graduated dot maps
Citing article
  • Aug 2017
... There are several user studies on the readability and user preference of map projection visualisations, e.g. [10,26,28,52]. In particular, these have found that viewers find it difficult to understand the distance or direction between two points if this requires reasoning about the discontinuity in the projection and mentally wrapping the projection around a globe to understand their relative position. ...
Reference: GAN'SDA Wrap: Geographic And Network Structured Data on surfaces that Wrap around
User preferences for world map projections
Citing article
  • Feb 2015