#Legend maker download may 2016 archive
#Legend maker download may 2016 code

If not included, the reference will be to the axis that a normal legend would be associated with (usually the parent axis of the labeled objects, unless objects from multiple axes are passed, in which case it's the parent object of the first labeled object). This can be either a figure or a child object of a figure (and does not need to relate in any way to the objects being labeled).

ref: handle of object used to position the legend.

nrow: number of rows, or 0 to indicate as many as necessary given the # of labeled objects.

ncol: number of columns, or 0 to indicate as many as necessary given the # of labeled objects.

Optional input variables (passed as parameter/value pairs): If this is an axis handle, all children of the axis will be included in the legend.

h: handle of axis or handle(s) of object(s) to be labeled.

M: cell array of strings, labels for legend.

The position of the legend is determined by these two points and the distance between them, defined in the 'buffer' variable, which by default is measured in pixels. The anchor points refer to the corners and centers of each side of the box surrounding the reference object and the legend itself they can be refered to either as numbers (1-8, clockwise from northwest corner) or strings ('nw', 'n', 'ne', 'e', 'se', 's', 'sw', 'w'). Unlike in the default legend command, where the legend is positioned relative to the labeled objects' parent axis according to one of 16 location strings, this function positions the legend based on two anchor points (one on either the figure or a child object of a figure, and one on the legend itself) and a buffer (or offset) between these two anchor points. This function should support all types of plot objects.

add a title to the legend within the legend box.

create multiple legends for the same axis.

rescale the horizontal space used by each legend symbol.

organize legend text and symbols in a grid with a specified number of rows and/or columns.

It offers a different method of positioning the legend, as well as options to: This function offers a more flexible version of the legend command.

#Legend maker download may 2016 code

This repository includes the code for the legendflex.m Matlab function, along with all dependent functions required to run it. If you use our data or methodology, please give us a shout out in your : a more flexible, customizable legend Read more.Ĭheck out the reproducible scripts and data behind many of our other stories in our central repoįollow us out on Twitter and on Facebook/TrendCT. Our scripts may be too technical for the average reader, but we make it accessible because we believe it is important to be as transparent as possible about our methodology so our work can be checked or expanded upon.

us_map.gif - GIF of the drought in the United States.ct_map.gif - GIF of the drought in Connecticut.gif_maker.R - Script to programatically generate CT and US specific GIFs using the generated.PNGs of the maps for each shapefile available. maps_maker.R - Script to programatically generate.us_shape folder - Base shapefile of the United States borders to layer on the drought shapefiles.

#Legend maker download may 2016 archive

shapes folder - Folders of 2016 weekly shapefiles from the Drought Monitor's GIS Data Archive.us_maps_gif folder - Folder with programatically generated maps of the drought in the United States (with additional titles, subtitles, and legend) to be used to create a GIF with.us_maps folder - Folder with programatically generated maps of the drought in the United States.ct_maps_gif folder - Folder with programatically generated maps of the drought in Connecticut (with additional titles, subtitles, and legend) to be used to create a GIF with.ct_maps folder - Folder with programatically generated maps of the drought in Connecticut.The data used in this analysis is from Drought Monitor via partnership between the National Drought Mitigation Center at the University of Nebraska-Lincoln, the United States Department of Agriculture, and the National Oceanic and Atmospheric Administration. Visualizing the drought in Connecticut and the United States.How the drought has spread in Connecticut.This repository contains source shapefiles and visualization scripts for the Trend CT story: Visualizing the drought in Connecticut and the United States