Choropleth map

Abstract: This study reunites areal interpolation with the isopleth mapping process to construct an inferred larger scale isopleth map. Intelligent areal interpolation is used to construct two types of population density surfaces that are used as inputs for pycnophylactic interpolation of an isopleth surface. One is a target zone population density surface (TZPDS) and the other is a control zone population density surface (CZPDS). Results suggest that an inferred isopleth map with remote sensing control data is a better surface depiction than an isopleth map without any control data, and the quality of such an isopleth map is further improved by enhancing the remote sensing data with residential parcel information. A CZPDS-derived intelligent isopleth map also has more peaks and variations in population distribution patterns than does a TZPDS-derived one due to the larger scale of the control data.

Abstract: . We present an analysis of the influence of colour distance on the user experience with choropleth maps. We systematically evaluated 5 se-quential and 5 qualitative colour schemes in a two-stage user experiment. At first, we conducted an online study to obtain performance metrics accu-racy and response time on a large variety of heterogeneous population. Following this, in a controlled lab study with eye-tracking, we re-examined the findings from the online study for a subset of experimental stimuli and further assessed the user experience through an analysis of their visual be-haviour. In this process, along with accuracy and response time , eye track-ing metrics fixation frequency, fixation duration and scanpath speed as well as a gaze transition analysis were utilized. In both experiments, par-ticipants were asked to compare two areas with controlled colour distances between them, and decide whether these areas are of the same colour. Re-sults suggest that we are able to discriminate narrower colour distances than commonly used in practice, however, not as narrow as suggested in previous literature.

Abstract: A visual demonstration of the benefits behind using cartograms, over the traditional choropleth map. Poster shows iGeology app activity in cartogram format.

Abstract: In this study, the data of Vietnam Household Living Standard Survey in 2006 (VHLSS2006) were used as microdata level data to find out some relations among characteristics, medical cares, and work styles in Vietnam. VHLSS2006 were aggregated by province level to a spatial data set to find out spatial characteristics and to apply spatial statistical models. The R package shinydashboard was applied to present the data interactively as dashboards for representative values, tables, and maps. In spatial statistical analysis, the focus was on working variables such as working rate, employment rate, self-employed in agriculture or non-agriculture rate in each province. To detect spatial dependence the Moran’s I Statistics were applies these working related objective variables and maps of Vietnam. The shape files of Vietnam in GADM database of Global Administrative Areas were used to calculate neighborhood information of provinces in Vietnam and to draw Choropleth map. Conditional autoregressive model was applied to explain spatial dependences by provinces and characteristics of the relation between working status and characteristics such as gender, age, education, and medical cares.