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Everything about Multivariate map
Thematic map visualizing multiple variables
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. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multivariate mapA 5-minute orientation
- Skim a recent paper: Efficiency and Core Loss Map Estimation with Machine Learning Based Multivariate Polynomial Regression ModelInfluential work since 2022
- Pick up a classic book: Collected Mathematical PapersThe most-reprinted book on the subject
- Read the landmark paper: ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmapCited 3,534 times
- Go sideways: Thematic mapA closely related topic
- Go sideways: Choropleth mapA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap
Process monitoring using causal map and multivariate statistics: fault detection and identification
Diagnosis of multiple and unknown faults using the causal map and multivariate statistics
Multivariate geostatistical methods to identify and map spatial variations of soil heavy metals
Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis
Local entropy map: a nonparametric approach to detecting spatially varying multivariate relationships
Incorporation of spectral data into multivariate geostatistical models to map soil phosphorus variability in a Florida wetland
Self-organizing time map: An abstraction of temporal multivariate patterns
🆕 Influential since 2022
Efficiency and Core Loss Map Estimation with Machine Learning Based Multivariate Polynomial Regression Model
Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm
Design Trend Fuzzy Granulation-Based Three-Layer Fuzzy Cognitive Map for Long-Term Forecasting of Multivariate Time Series
Using Self-Organizing Map and Multivariate Statistical Methods for Groundwater Quality Assessment in the Urban Area of Linyi City, China
Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting
📚 Books worth reading
Collected Mathematical PapersA. Ostrowski · 1983
The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani · 2001- 📕Biosignal processingHualou Liang, Joseph D. Bronzino · 2012
Value at RiskPhilippe Jorion · 1996
Basic Analysis IIIJames K. Peterson · 2020- 📕Infrared and Raman spectroscopy in forensic scienceJohn M. Chalmers, Howell G. M. Edwards · 2011
Modern methods for epidemiologyYu-Kang Tu, Darren C. Greenwood · 2012
Thematic cartography and geographic visualizationTerry A. Slocum, Robert B McMaster · 2003
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Thematic map A thematic map is a type of map that portrays the geographic pattern of a particular subject matter (theme) in a geographic area. This usually involves…
- Choropleth map A choropleth map (from Ancient Greek χῶρος (khôros) 'area, region' and πλῆθος (plêthos) 'multitude') is a type of statistical thematic map that uses pseudocolou…
- Proportional symbol map A proportional symbol map, proportional point symbol map, or scaled symbol map is a type of thematic map that uses map symbols that vary in size to represent…
- Cartographic design Cartographic design or map design is the process of crafting the appearance of a map, applying the principles of design and knowledge of how maps are used…
- Dasymetric map A dasymetric map (from Greek δασύς dasýs 'dense' and μέτρο métro 'measure') is a type of thematic map that uses areal symbols to visualize a geographic…
- Dot distribution map A dot distribution map (or a dot density map or simply a dot map) is a type of thematic map that uses a point symbol to visualize the geographic distribution…
- Map symbol A map symbol or cartographic symbol is a graphical device used to visually represent a real-world feature on a map, working in the same fashion as other…
- Visual variable A visual variable, in cartographic design, graphic design, and data visualization, is an aspect of a graphical object that can visually differentiate it…