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Common geographic data sets

License: MIT License

Julia 100.00%

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rahulprabhakaran snowmanman

geodatasets.jl's Issues

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Basin Masks

Would the maintainers be interested in a PR adding this ocean basin mask data set?

https://iridl.ldeo.columbia.edu/SOURCES/.NOAA/.NODC/.WOA09/.Masks/.basin/index.html?Set-Language=en

Alternatively, if there's a better mask data source (this is my first time doing this particular bit of work, so I could well have missed whatever it is that is usually used) also happy to work with that!

Using Datadeps

I also wonder whether DataDeps.jl wouldn't make more sense for this project than RemoteFiles.jl because the data you're working with is largely static. Is this something that has been considered already?

Error when running the first two plotting examples in docs

they are crashed by the same error:
1.

julia> pcolormesh(lon,lat,data')
libGL error: MESA-LOADER: failed to open radeonsi (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri)
libGL error: failed to load driver: radeonsi
libGL error: MESA-LOADER: failed to open radeonsi (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri)
libGL error: failed to load driver: radeonsi
libGL error: MESA-LOADER: failed to open swrast (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri)
libGL error: failed to load driver: swrast
.....

julia> contour(lon,lat,data',[0.5],colors=[[0.2,0.2,0.2]],linewidths=0.5)
libGL error: MESA-LOADER: failed to open radeonsi (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri)
libGL error: failed to load driver: radeonsi
libGL error: MESA-LOADER: failed to open radeonsi (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri)
libGL error: failed to load driver: radeonsi
libGL error: MESA-LOADER: failed to open swrast (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri)
libGL error: failed to load driver: swrast

signal (11): 段错误
in expression starting at REPL[10]:1
unknown function (ip: 0x7f9b3142f563)
unknown function (ip: 0x7f9b314372db)
_dl_catch_exception at /build/glibc-4WA41p/glibc-2.30/elf/dl-error-skeleton.c:196
unknown function (ip: 0x7f9b314369b9)
do_dlopen at /build/glibc-4WA41p/glibc-2.30/elf/dl-libc.c:96
_dl_catch_exception at /build/glibc-4WA41p/glibc-2.30/elf/dl-error-skeleton.c:196
_dl_catch_error at /build/glibc-4WA41p/glibc-2.30/elf/dl-error-skeleton.c:215
dlerror_run at /build/glibc-4WA41p/glibc-2.30/elf/dl-libc.c:46 [inlined]
__libc_dlopen_mode at /build/glibc-4WA41p/glibc-2.30/elf/dl-libc.c:195
init at /build/glibc-4WA41p/glibc-2.30/debug/backtrace.c:53
__pthread_once_slow at /lib/x86_64-linux-gnu/libpthread.so.0 (unknown line)
__backtrace at /build/glibc-4WA41p/glibc-2.30/debug/backtrace.c:106
check_callers.part.0 at /home/lxc/anaconda3/lib/python3.7/site-packages/numpy/core/_multiarray_umath.cpython-37m-x86_64-linux-gnu.so (unknown line)
can_elide_temp_unary at /home/lxc/anaconda3/lib/python3.7/site-packages/numpy/core/_multiarray_umath.cpython-37m-x86_64-linux-gnu.so (unknown line)
array_invert at /home/lxc/anaconda3/lib/python3.7/site-packages/numpy/core/_multiarray_umath.cpython-37m-x86_64-linux-gnu.so (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalCodeWithName at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyFunction_FastCallKeywords at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
call_function.lto_priv.1537 at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
function_code_fastcall at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
call_function.lto_priv.1537 at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalCodeWithName at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyFunction_FastCallDict at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyObject_Call_Prepend at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
PyObject_Call at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalCodeWithName at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyFunction_FastCallDict at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyObject_Call_Prepend at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
slot_tp_init at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
type_call.lto_priv.152 at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
PyObject_Call at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalCodeWithName at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyFunction_FastCallDict at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalCodeWithName at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyFunction_FastCallDict at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyObject_Call_Prepend at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
PyObject_Call at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalFrameDefault at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyEval_EvalCodeWithName at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
_PyFunction_FastCallDict at /home/lxc/anaconda3/lib/libpython3.7m.so.1.0 (unknown line)
macro expansion at /home/lxc/.julia/packages/PyCall/ttONZ/src/exception.jl:81 [inlined]
__pycall! at /home/lxc/.julia/packages/PyCall/ttONZ/src/pyfncall.jl:44
_pycall! at /home/lxc/.julia/packages/PyCall/ttONZ/src/pyfncall.jl:29
_pycall! at /home/lxc/.julia/packages/PyCall/ttONZ/src/pyfncall.jl:11
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2141 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
#pycall#110 at /home/lxc/.julia/packages/PyCall/ttONZ/src/pyfncall.jl:86
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2141 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1631 [inlined]
jl_f__apply at /buildworker/worker/package_linux64/build/src/builtins.c:627
#pycall at ./none:0
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2141 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1631 [inlined]
jl_f__apply at /buildworker/worker/package_linux64/build/src/builtins.c:627
#contour#33 at /home/lxc/.julia/packages/PyPlot/4wzW1/src/PyPlot.jl:177
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2141 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1631 [inlined]
jl_f__apply at /buildworker/worker/package_linux64/build/src/builtins.c:627
#contour at ./none:0
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2141 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1631 [inlined]
do_call at /buildworker/worker/package_linux64/build/src/interpreter.c:328
eval_value at /buildworker/worker/package_linux64/build/src/interpreter.c:417
eval_stmt_value at /buildworker/worker/package_linux64/build/src/interpreter.c:368 [inlined]
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:778
jl_interpret_toplevel_thunk_callback at /buildworker/worker/package_linux64/build/src/interpreter.c:888
unknown function (ip: 0xfffffffffffffffe)
unknown function (ip: 0x7f9af4670b0f)
unknown function (ip: 0x8)
jl_interpret_toplevel_thunk at /buildworker/worker/package_linux64/build/src/interpreter.c:897
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:814
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:764
jl_toplevel_eval_in at /buildworker/worker/package_linux64/build/src/toplevel.c:843
eval at ./boot.jl:330
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2135 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
eval_user_input at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/REPL/src/REPL.jl:86
run_backend at /home/lxc/.julia/packages/Revise/S7mrl/src/Revise.jl:1057
#85 at ./task.jl:333
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2141 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:2305
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1631 [inlined]
start_task at /buildworker/worker/package_linux64/build/src/task.c:659
unknown function (ip: 0xffffffffffffffff)
Allocations: 50524503 (Pool: 50511514; Big: 12989); GC: 53

julia> versioninfo()
Julia Version 1.3.0
Commit 46ce4d7933 (2019-11-26 06:09 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)
Environment:
  JULIA_NUM_THREADS = 4
  JULIA_REVISE = manual

My system version is Ubuntu 19.10
shell> uname -a
Linux lxc-PC 5.3.0-24-generic #26-Ubuntu SMP Thu Nov 14 01:33:18 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux

Choosing a backend

I've been having some issues getting RemoteFiles' curl backend to work to download the gshhg shape file (it hangs, no idea why), but HTTP seems to be working fine. To figure this out, I had to ]dev --local RemoteFiles and change some things.

It looks like RemoteFiles exposes a download function that accepts a backend as an argument. I wonder therefore whether it would be a good idea to let users interact with that function when asking for the data in GeoDatasets? Perhaps a keyword argument whose default sticks with the current behaviour or something?

Land-sea mask type

Thanks for making this excellent package!

I've been playing around with the land-sea mask data a bit and have found creating a small wrapper type around it to add convenience functionality like

is_land(mask::LandSeaMask, lat::Real, lon::Real)

to be quite helpful. Is there a natural existing home for this within the JuliaGeo ecosystem, or should I create a new (very small) package? Would this package be an appropriate home for such a type, or is that kind of thing out of scope for this package?

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