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gvmap(1)                    General Commands Manual                   gvmap(1)


NAME

       gvmap - find clusters and create a geographical map highlighting
       clusters.


SYNOPSIS

       gvmap [ options ] [ -o outfile ] [ files ]


DESCRIPTION

       gvmap takes as input a graph in DOT format, finds node clusters and
       produces a rendering of the graph as a geographic-style map, with
       clusters highlighted as countries, in xdot format.

       In the input graph, each node must have position, width and height
       information (pos, width and height attributes, respectively) defined,
       and nodes must not overlap.

       By default, gvmap will generate the clusters from the data. If desired,
       the input graph can specify cluster information by giving every node a
       cluster attribute whose value is a small positive integer. (It is works
       best if cluster values are all integers in the interval [1,K] for some
       K. Nodes sharing the same cluster attribute value will be put into the
       same cluster. N.B. For the cluster attribute to be used, all nodes must
       have a valid value.

       If the -D flag is used, gvmap will use the top-level cluster subgraphs
       to determine the clustering. Any nodes not in such a cluster will be
       put into a single catch-all cluster.

       If the input specifies the desired clustering as described above, it
       can also specify a desired coloring by having some node in each cluster
       provide a clustercolor attribute. N.B. Unless one specifies -c0, only
       the clustercolor of the last node in a cluster has an effect. In
       addition, unless one uses -O, gvmap may permute the given colors.


OPTIONS

       The following options are supported:

       -a k   The integer k specifies the average number of artificial points
              added along the bounding box of the labels. Such artificial
              points are added to avoid a country boundary cutting through the
              boundary box of the labels. Computing time is proportional to k;
              hence, for large graphs, a small value of k is suggested. If k =
              -1, a suitable value of k is automatically selected based on the
              graph size. By default k = -1.

       -b v   The real number v specifies the line width used to draw the
              polygon boundaries, with v < 0 for no line. By default v = 0.

       -c k   The integer k specifies color scheme used to color the
              countries. By default k = 1.

          Acceptable values are:
                 0 : no polygons
                 1 : pastel
                 2 : blue to yellow
                 3 : white to red
                 4 : light grey to red
                 5 : primary colors
                 6 : sequential single hue red
                 7 : sequential single hue lighter red
                 8 : light grey

       -c_opacity=xy
              Specifies a two-character hexadecimal string specifying the
              opacity of the polygons.

       -C d   The integer d specifies the maximum number of clusters
              (countries) allowed. By default d = 0, which means that there is
              no limit.

       -d d   The integer d specifies the random seed used during color
              assignment optimization that maximize color difference between
              neighboring countries.

       -D     If specified, the graph's cluster subgraphs are used to specify
              the clustering.

       -e     If specified, edges will be included in the final output.

       -g c   Specifies the bounding box color. If not specified, a bounding
              box is not drawn.

       -h k   The number of artificial points added to maintain a bridge
              between endpoints. By default, this is zero.

       -highlight=k
              Only draw cluster k. By default, all clusters are drawn.

       -k     If specified, increases the randomness of outer boundary.

       -l s   Use the string s as a label for the drawing.

       -m v   Generate a margin of v points around the drawing. By default,
              this is determined by gvmap.

       -O     Do NOT do color assignment optimization that maximizes color
              differences between neighboring countries

       -o<file>
              Put output in <file>. Default output is stdout

       -p k   Indicates what level of points should be shown. By default, no
              points are shown.

          Acceptable values are:
                 0 : no points
                 1 : all points
                 2 : label points
                 3 : random/artificial points

       -Q     Use modularity quality for clustering rather than the default
              modularity clustering.

       -r k   The number of random points k (integer) used to define sea and
              lake boundaries. If 0, auto assigned. By default v = 0

       -s v   The real number v specifies the depth of the sea and lake shores
              in points. If 0, auto assigned. By default v = 0.

       -t n   Make n attempts to improve cluster contiguity.

       -v     Verbose mode.

       -z c   Specified the polygon line color. Default is black.

       -?     Print usage and exit.


EXAMPLES

       Given a graph foo.gv, one way to generate a layout and highlight the
       clusters is to first select a layout engine with a suitable overlap
       removal method, then feed the output to gvmap, and finally render the
       map using specific graphics format. For example, the following pipeline
       creates a map with edges in semi-transparent light gray and nodes laid
       out using sfdp:

       sfdp -Goverlap=prism foo.gv | gvmap -e | neato -n2 -Ecolor=#55555522
       -Tpng > foo.png

       The shell script gvmap.sh provides a shorthand for such pipelines. For
       example, the above pipeline can be achieved using

       gvmap.sh -Ae -Ecolor=#55555522 -Tpng foo.gv > foo.png




AUTHOR

       Yifan Hu <yifanhu@yahoo.com>


SEE ALSO

       gvmap.sh(1), sfdp(1), neato(1), gvpr(1)

       E. R. Gansner, Y. Hu, S. G. Kobourov, "GMap: Visualizing graphs and
       clusters as maps," Proc. Pacific Vis. 2010, pp. 201-208.

                                 3 March 2011                         gvmap(1)

graphviz 12.2.1 - Generated Sun Dec 15 13:25:08 CST 2024
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