Topic
Choropleth map
About: Choropleth map is a research topic. Over the lifetime, 369 publications have been published within this topic receiving 8331 citations. The topic is also known as: blot map.
Papers published on a yearly basis
Papers
TL;DR: In this paper, the authors analyzed the impact of place-based inequities on mortality rates in 2014 and created a centralized database for visualizations that combined mortality data by diagnosis, socioeconomic data, health resource data, and an index of area deprivation.
Abstract: This investigation analyzed the impact of place-based inequities on mortality rates in 2014. The team combined mortality data with metrics on health care accessibility, socioeconomic deprivation, and other variables available from publicly available data sets. The investigation team created a centralized database for visualizations that combined mortality data by diagnosis, socioeconomic data, health resource data, and an index of area deprivation. Choropleth maps, scatterplots, and regression analyses were performed to identify the major areas of mortality and how well different measures of the social determinants of health (SDOH) correlate to mortality data. A bivariate color scheme to visually capture both outcomes and SDOH in a choropleth map was shown to be a compact and novel manner to display complex epidemiologic data.
2 citations
19 May 2002
TL;DR: This article demonstrates the visual power of continuous smoothing and slicing of multivariate maps, through an example relating the rates of screening tests to colon cancer rates, and a new theoretical result provides legitimacy and understanding.
Abstract: This article demonstrates the visual power of continuous smoothing and slicing of multivariate maps, through an example relating the rates of screening tests to colon cancer rates. A new theoretical result provides legitimacy and understanding by demonstrating how the conditional maps are related to the usual single smoothed choropleth map of colon cancer rates.
2 citations
1 Nov 2004
TL;DR: A research programme which has designed a visualisation of attribute and choropleth spatial uncertainty using the Hexagonal or Rhombus (HoR) hierarchical spatial data structure is extended, which is termed – the trustree.
Abstract: Attribute and spatial uncertainty are defined and put into context for this research. This paper then extends on a research programme which has designed a visualisation of attribute and choropleth spatial uncertainty using the Hexagonal or Rhombus (HoR) hierarchical spatial data structure. Using the spatial data model in this fashion is termed – the trustree. To understand this progression, a brief explanation of this research programmes past history must be covered. The New Zealand 2001 census is used as an exemplarity dataset to express attribute uncertainty and choropleth boundary uncertainty (termed spatial uncertainty). An internet survey was conducted to test the usability of the trustree, which was used as a transparent tessellation overlay and a value-by-area (VBA) display within a population choropleth map. Two other visualisation of attribute uncertainty methods – blinking areas and adjacent value were also incorporated into the survey. Participants were required to rank, from 1 to 6, six grid cells which overlaid the uncertainty visualisations, in order from the most accurate to the most uncertain cell, respectively. These ranking results were correlated with the actual ranks, providing a metric of usability for each visualisation method. The blinking areas method was the most effective, followed by adjacent value, VBA trustree and the transparent HoR trustree. The time taken for a participant to rank each visualisation’s cells was collected – there is an 82% correlation between the time taken and the final usability results obtained.
2 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 19 |
| 2020 | 17 |
| 2019 | 26 |
| 2018 | 17 |
| 2017 | 19 |
| 2016 | 14 |