bivariate observation - définition. Qu'est-ce que bivariate observation
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Qu'est-ce (qui) est bivariate observation - définition

THEMATIC MAP VISUALIZING MULTIPLE VARIABLES
Bivariate map
  • A multivariate symbol map of the 2016 U.S. presidential election, using a combination proportional and chart symbol
  • A multi-layered thematic map, displaying minority proportion as a choropleth, and family size as a proportional symbol
  • Bivariate choropleth map comparing the Black (blue) and Hispanic (red) populations in the United States, 2010 census; shades of purple show significant proportions of both groups.
  • A bivariate dot density map showing the distribution of the African American (blue) and Latino (red) populations in the contiguous United States in 2010.

Bonilla observation         
FIRST SIGHTING OF UNIDENTIFIED FLYING OBJECTS
Jose Bonilla Observation; José Bonilla Observation
On August 12, 1883, the astronomer José Bonilla reported that he saw more than 300 dark, unidentified objects crossing before the Sun while observing sunspot activity at Zacatecas Observatory in Mexico. He was able to take several photographs, exposing wet plates at 1/100 second.
bivariate         
WIKIMEDIA DISAMBIGUATION PAGE
Bivariate (disambiguation)
[b??'v?:r??t]
¦ adjective Statistics involving or depending on two variates.
Multivariate map         
A bivariate or multivariate map is a type of thematic map that displays two or more variables on a single map by combining different sets of symbols.Nelson, J.

Wikipédia

Multivariate map

A bivariate map or multivariate map is a type of thematic map that displays two or more variables on a single map by combining different sets of symbols. Each of the variables is represented using a standard thematic map technique, such as choropleth, cartogram, or proportional symbols. They may be the same type or different types, and they may be on separate layers of the map, or they may be combined into a single multivariate symbol.

The typical objective of a multivariate map is to visualize any statistical or geographic relationship between the variables. It has potential to reveal relationships between variables more effectively than a side-by-side comparison of the corresponding univariate maps, but also has the danger of Cognitive overload when the symbols and patterns are too complex to easily understand.: 331