choropleth


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choropleth

(ˈkɔːrəˌplɛθ)
n
(Physical Geography)
a. a symbol or marked and bounded area on a map denoting the distribution of some property
b. (as modifier): a choropleth map.
[C20: from Gk khōra place + plēthos multitude]
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References in periodicals archive ?
Types of charts range from line and column to proportional symbol and choropleth (showing data superimposed on a country's map).
But CLEAR's major innovation was to add a mapping component to the department's data warehouse, CLEARmap, which made it possible to take crime data from query pages and generate choropleth maps using ESRI's ArcIMS by police beat, district, ward, community area, and census tract.
Figure 2 presents the choropleth map of the DSR of ED visits for asthma during the entire study period.
Dedica-se com mais detalhe aos mapas de choropleth, que codificam informacoes pela atribuicao de cores ou tons de cor a areas definidas, podendo representar diferentes tipos de dado.
4, choropleth maps-that use colour differences to represent numerical quantity pertaining to areas-were created to visualize district-wise pattern and percentage distribution of health consultations in the past two weeks by type of provider; cumulatively, and by urban and rural status.
The LQ for each ZIP was calculated and then mapped in a choropleth (proportionally shaded) map.
Choropleth maps were then elaborated using ArcGIS Desktop Advanced(R) to visualize rates across the different health districts (21).
Beyond providing analytics, the Resource Center provides additional resources such as how-to guides, modern marketing materials, educational resources and an exclusive choropleth mapping tool which provides visuals of sustainability from the county, regional and state/provincial level.
Using choropleth maps, we analyze the location of content creation through academic articles, collaborative software development activities, and domain registrations.
Evaluation of methods for classifying epidemiological data on choropleth maps in series.
A choropleth thematic map was used to visualise possible clustering and the states with significant spatial autocorrelations were identified by mapping the P-value of the Local Moran's I statistics.
These maps can have multiple layers of different types of data, enabling business users to visualize information in various ways, such as a heat map layer to visualize data density and a choropleth map layer to highlight statistically significant geographic areas using shades or patterns.