• Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Although shaded relief, or hillshaded, images are a widely used method to represent high-resolution (~1-m) digital surfaces derived from airborne laser (or LiDAR) scans, such displays may become difficult to interpret when they include surface features like buildings, roadways, and natural vegetation. One possible alternative as a visualization of such surface models is a representation based on slope shading – the steeper, the darker – but attenuated to the perceptual bias of overestimation of slope. The empirical work presented here demonstrates that Perceptually Shaded Slope Maps (PSSMs) perform as well or better than either hillshaded or hypsometric images on map-reading tasks, including profile estimation and mental rotation.
    Cartographica The International Journal for Geographic Information and Geovisualization 12/2014; 49(4):225-240. DOI:10.3138/carto.49.4.2141
  • [Show abstract] [Hide abstract]
    ABSTRACT: Spatial thinking is central to many scientific domains and professions spatial ability predicts success and participation in science. However spatial thinking is not is not emphasized in our educational system. This paper presents a selective review of four types of studies regarding spatial thinking in undergraduate science curricula; (1) correlational studies examining the relations between measures of spatial ability and performance in science disciplines, (2) studies that attempt to train aspects of spatial thinking, (3) studies of how students understand specific spatial representations in sciences (4) studies that use dynamic spatial representations to promote scientific understanding. For each type of study, the evidence is critically evaluated and conclusions are drawn about how to nurture spatial thinking in science.
    Spatial Cognition and Computation 04/2014; 14(2). DOI:10.1080/13875868.2014.889696 · 1.22 Impact Factor
  • Journal of Maps 03/2014; 10(2):249-256. DOI:10.1080/17445647.2014.888376 · 0.90 Impact Factor


Available from