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Table Cartograms
"... A table cartogram of a two dimensional m × n table A of nonnegative weights in a rectangle R, whose area equals the sum of the weights, is a partition of R into convex quadrilateral faces corresponding to the cells of A such that each face has the same adjacency as its corresponding cell and has a ..."
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A table cartogram of a two dimensional m × n table A of nonnegative weights in a rectangle R, whose area equals the sum of the weights, is a partition of R into convex quadrilateral faces corresponding to the cells of A such that each face has the same adjacency as its corresponding cell and has
Optimal BSPs and Rectilinear Cartograms
 GIS
, 2006
"... A cartogram is a thematic map that visualizes statistical data about a set of regions like countries, states or provinces. The size of a region in a cartogram corresponds to a particular geographic variable, for example, population. We present an algorithm for constructing rectilinear cartograms (ea ..."
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Cited by 9 (1 self)
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A cartogram is a thematic map that visualizes statistical data about a set of regions like countries, states or provinces. The size of a region in a cartogram corresponds to a particular geographic variable, for example, population. We present an algorithm for constructing rectilinear cartograms
Automated Construction of Rectangular Cartograms
, 2005
"... A rectangular cartogram is a type of map where every region is a rectangle. The size of the rectangles is chosen such that their areas represent a geographic variable (e.g., population). Good rectangular cartograms are hard to ..."
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A rectangular cartogram is a type of map where every region is a rectangle. The size of the rectangles is chosen such that their areas represent a geographic variable (e.g., population). Good rectangular cartograms are hard to
Algorithms for cartogram animation
"... We describe several valuebyarea cartogram animation algorithms that can be used to visualize geographically distributed continuous spatiotemporal data that often occur in GIS systems. We implemented the algorithms as part of the graphical user interface of the MLPQ/GIS database system. ..."
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Cited by 4 (1 self)
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We describe several valuebyarea cartogram animation algorithms that can be used to visualize geographically distributed continuous spatiotemporal data that often occur in GIS systems. We implemented the algorithms as part of the graphical user interface of the MLPQ/GIS database system.
Cartogram data projection for . . .
, 2012
"... The SelfOrganizing Map (SOM) is very often visualized by applying Ultsch’s Unified Distance Matrix (UMatrix) shading and labeling the cells of the 2D grid with training data observations nearest to that node in feature space. Although powerful and the de facto standard visualization for SOMs, thi ..."
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to the number of data elements it contains; an approach derived from the cartogram techniques in geography. Second, we determine the withincell location of each datum according to its similarity in ndimensional feature space to each of the neighboring nodes that surround it on the 2D SOM grid. When multiple
Thirty Five Years of Computer Cartograms
 Annals of the Association of American Geographers
, 2004
"... The notion of a cartogram is reviewed. Then, based on a presentation from the 1960’s, a direct and simple introduction is given to the design of a computer algorithm for the construction of contiguous valuebyarea cartograms. As an example a table of latitude/longitude to rectangular plane coordinat ..."
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Cited by 31 (0 self)
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The notion of a cartogram is reviewed. Then, based on a presentation from the 1960’s, a direct and simple introduction is given to the design of a computer algorithm for the construction of contiguous valuebyarea cartograms. As an example a table of latitude/longitude to rectangular plane
“Creating Contiguous Cartograms in ArcGIS 9”
"... Cartograms are powerful tools for visualizing information. Many people have seen the cartograms created after the 2000 and 2004 US Presidential Election and can attest to the power of their presentation. Unfortunately, cartograms are too time consuming and difficult to create to be used as common ma ..."
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Cartograms are powerful tools for visualizing information. Many people have seen the cartograms created after the 2000 and 2004 US Presidential Election and can attest to the power of their presentation. Unfortunately, cartograms are too time consuming and difficult to create to be used as common
Cartograms, SelfOrganizing Maps, and magnification control
"... Abstract. This paper presents a simple way to compensate the magnification effect of SelfOrganizing Maps (SOM) when creating cartograms using CartoSOM. It starts with a brief explanation of what a cartogram is, how it can be used, and what sort of metrics can be used to assess its quality. The met ..."
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Abstract. This paper presents a simple way to compensate the magnification effect of SelfOrganizing Maps (SOM) when creating cartograms using CartoSOM. It starts with a brief explanation of what a cartogram is, how it can be used, and what sort of metrics can be used to assess its quality
Cartogram Representations of SelfOrganizing Virtual Geographies
, 2013
"... ii Abstract: Model interpretability is a problem for multivariate data in general and, very specifically, for dimensionality reduction techniques as applied to data visualization. The problem is even bigger for nonlinear dimensionality reduction (NLDR) methods, to which interpretability limitations ..."
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makes interpretation far from intuitive. For some NLDR models, indirect quantitative measures of this mapping distortion can be calculated explicitly and used as part of an interpretative postprocessing of the results. In this Master Thesis, we apply a cartogram method, inspired on techniques
CartoSom  Cartogram creation using selforganizing maps
"... ... In this article we have presented a general method for constructing densityequalizing projections or cartograms, using the basic SOM algorithm, providing a tool for geographic data presentation and analysis ..."
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Cited by 8 (1 self)
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... In this article we have presented a general method for constructing densityequalizing projections or cartograms, using the basic SOM algorithm, providing a tool for geographic data presentation and analysis
Results 1  10
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