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_libs/lunr/lunr_index.js

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documentation/general/quick_learn.md

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@@ -13,26 +13,26 @@ coast(R="-10/0/35/45", J="M15c", B="afg", W="0.5p", show=true)
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but what if you need to make a map with some data, a grid for example. Simple, give it as a first argument as in:
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```julia
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grdimage("@earth_relief_20m.grd", J="R15c", B="a", show=true)
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grdimage("@earth_relief_20m", J="R15c", B="a", show=true)
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```
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This will compute a cpt under the hood and use it. But what if you want to use another cpt? Also simple,
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just make one and use it in the above command. *i.e.*:
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```julia
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CPT = makecpt(T="-10000/8000/1000");
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grdimage("@earth_relief_20m.grd", J="R15c", B="a", C=CPT, show=true)
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grdimage("@earth_relief_20m", J="R15c", B="a", C=CPT, show=true)
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```
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The last command introduced a novelty in using the **C** option and that's where things start to be interesting.
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Instead of using a previously existing cpt file, *e.g.* a file called `color.cpt` and used it as C="color.cpt",
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we created a `GMTcpt` object that resides only in Julia memory space and passed it directly via the **C** option.
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The same could have been done if we had the `earth_relief_20m.grd` grid in memory, which, for example sake, can
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The same could have been done if we had the `earth_relief_20m` grid in memory, which, for example sake, can
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be achieved by previously reading the grid file.
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```julia
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CPT = makecpt(T="-10000/8000/1000");
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G = gmtread("@earth_relief_20m.grd");
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G = gmtread("@earth_relief_20m");
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grdimage(G, J="R15c", B="a", C=CPT, show=true)
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```
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documentation/modules/clip.md

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clip(cmd0::String="", arg1=[]; kwargs...)
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```
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Initialize or terminate polygonal clip paths
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*keywords: GMT, Julia, clip paths*
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Initialize or terminate polygonal clip paths
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Description
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-----------
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documentation/modules/coast.md

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coast(cmd0::String=""; kwargs...)
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```
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Plot continents, shorelines, rivers, and borders on maps
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*keywords: GMT, Julia, geographical mapping*
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Plot continents, shorelines, rivers, and borders on maps
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Description
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-----------
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documentation/modules/contour.md

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contour(cmd0::String="", arg1=nothing; kwargs...)
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```
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Contour plot from table data by direct triangulation
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*keywords: GMT, Julia, contour plots, mapping*
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Contour plot from table data by direct triangulation
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Description
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-----------

documentation/modules/contourf.md

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contourf(cmd0::String="", arg1=nothing, arg2=nothing; kwargs...)
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```
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Create filled contour mapps.
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*keywords: GMT, Julia, filled contour plots, visualization, mapping*
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Create filled contour mapps.
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Description
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documentation/modules/earthregions.md

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res, registration="", exact=false)
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```
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Plots or automatically extracts grid/image over a named geographic region.
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*keywords: GMT, Julia, geography*
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Plots or automatically extracts grid/image over a named geographic region.
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---
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Many predefined regions are provided via *collections*. These collections contain names, rectangular
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geographic boundaries, and access codes for various geographic areas. There are two types of collections:

documentation/modules/fill_between.md

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fill_between(D1 [,D2]; kwargs...)
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```
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Fill the area between two horizontal curves.
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*keywords: GMT, Julia, area fill plots*
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Fill the area between two horizontal curves.
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The curves are defined by the points (x, y1, y2) in matrix or GMTdataset `D1`. This creates one or
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multiple polygons describing the filled area. Alternatively, give a second matrix, `D2` (or a scalar y=cte)
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and the polygons are constructed from the intersections of curves `D1` and `D2`. The `D1` arg can

documentation/modules/filter1d.md

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filter1d(cmd0::String="", arg1=[]; kwargs...)
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```
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Time domain filtering of 1-D data tables
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*keywords: GMT, Julia, 1D filter*
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Time domain filtering of 1-D data tables
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Description
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documentation/modules/fitcircle.md

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fitcircle(cmd0::String="", arg1=nothing, kwargs...)
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```
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Find mean position and great [or small] circle fit to points on sphere
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*keywords: GMT, Julia, fit circles*
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Find mean position and great [or small] circle fit to points on sphere
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Description
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