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(fixes #3011)
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This fixes the current forward implementation of Peirce Quincuncial proj to correctly flip/reflect out the southern hemisphere to four triangles, and rotate entire result to a square or diamond. (It there resolves the issues identified with pull request https://github.com/OSGeo/PROJ/pull/2230 , where southern hemisphere was wrongly projected over northern, and reverses the restriction to northern hemisphere introduced there). It also adds additional lateral projection of the hemispheres.
- This PR adds an optional parameter `+type` which allows selection of projection. The `+type=square` and `+type=diamond` types match in principle ESRI's twin implementations of square and diamond PQ projs. The **default** if not specified is `+type=diamond`.
- The previous behaviour restricted to the northern hemisphere can be reproduced using the `+type=nhemisphere`, though this is an edge case only.
- An additional `+type=horizontal` and `+type=vertical` rectangular lateral versions have been added that place each hemisphere side-by-side. This is primarily to allow creation of projections such as Greiger Triptychial, which also require the additional optional params `scrollx` or `scrolly` in order to shift parts of the projection from one side of the map to the other.
- Additional documentation has been added to proj description, including quoting the usual meridian used in common usage of projection, and images showing the different types.
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* implement conda package building
* paths
* need libtool
* PLATFORM check
* point to my PROJ feedstock for now
* point to PROJ repos
* plot building and artifact upload
* syntax
* add proj conda package for plotting
* retab
* no doxygen
* syntax
* update docs Makefile
* doc building
* needs
* consolidate doc/plots
* plot updates
* put updated plot output into docs
* register spelling module
* use v2 download-artifact
* artifact upload
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Limit peirce_q to northern hemisphere, and fix images for adams_hemi, guyou and peirce_q
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- The current implementation of the Interrupted Goode Homolosine
projection emphasizes land area. This is a compliment projection
that emphasizes ocean area.
- A value of lon0=-160 produces a reasonable real-world map.
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regenerate associated images
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environment variable
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This commit adds five new projections to PROJ:
adams_hemi: Adams Hemisphere in a Square
adams_wsI: Adams World in a Square I
adams_wsII: Adams World in a Square II
guyou: Guyou
peirce_q: Pierce Quincuncial
The code originates from Gerry Evendens libproject and has been adapted
to work with modern PROJ. To ensure that the modified code works as
intended extensive test data has been created using libproject and
sproj so that no errors occured when porting from libproject to PROJ.
The test data is wrapped in a gie files. All test cases reproduce
results from libproject at the mm level.
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removal of proj_def.dat
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Add Tobler-Mercator projection
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Added conda environment file too, hopefully making it simpler to get
started in the future.
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image to caption
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Implement the Equal Earth projection (closes #1085)
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All the GIGS JSON files have been converted to the gie format
and are now covered by running "make check". Therefore we no
longer need the Python setup. Removing it from the Travis CI
setup should speed up the test execution time a bit.
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Central conic projection implemented as 'ccon'.
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Use NumPy functions a bit more and avoid using np.append too much.
The previous code did not ensure that interpolated points were less than
the tolerance apart.
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Otherwise, it will try to use pre-installed data instead of a local
copy.
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Plotting script is now more flexible and makes it possible to do more
elaborate setup of each individual plot. This is done by adding a JSON
file that holds a record for each plot in the documentation. A plot
can now be restricted to a given bounding box, and there's a choice
between plotting as polygons or linestrings, as well as both low and
medium resolution data to go choose from.
Plots have not been added to the repository yet, they will show up in
a later commit although most of the work is done here. Most
plots are now done as polygons. Generally speaking the plots that are
still based on line data have show some problems when plotted as
polygons. There is still an unsolved wrap-around problem that should
eventually be fixed.
The land.geosjson dataset has been densified manually at the antartic
to make sure that the land mass is depicted correctly in projected
space.
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