[pyngl-talk] read high-resolution coast database

Xiaoni Wang xiaoni.wang at obspm.fr
Thu Dec 7 15:02:48 MST 2017


Hi Mary
    Thank you very much for your useful information ! I will look at it.

Best wishes

Xiaoni

Le 7 déc. 2017 à 22:58, Mary Haley <haley at ucar.edu> a écrit :

> Hi Xianoi,
> 
> I'm CC-ing pyngl-talk at ucar.edu on this question, since we are encouraging users to go through our email lists in order to get continued help from us. You need to subscribe to pyngl-talk before you can send questions to it:
> 
> http://mailman.ucar.edu/mailman/listinfo/pyngl-talk
> 
> There's no way to use NCL or PyNGL to query the high-res database for specific lat/lon locations of lakes or other borders for that matter.
> 
> What I would recommend is using a shapefile instead, which you can read using PyNIO, NCL, or other Python tools. There are many free shapefiles out there, and it's easy to google for them.
> 
> As an example, I googled "shapefiles for lakes", and came across this link:
> 
> http://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-lakes/
> 
> I clicked on the "download lakes" button and it download the shapefiles and ancillary data to a directory called​ ​"ne_10m_lakes".​ I was then able to use the attached PyNIO script to query the file and print out the min/​max lat/lon for each segment for each "Lake" on the file. I created a separate script to plot the different types of features.
> 
> --Mary
> 
> 
> On Thu, Dec 7, 2017 at 12:22 PM, Xiaoni Wang <xiaoni.wang at obspm.fr> wrote:
> Hi Mary
>     Thanks for your replay. I changed to another projection method and it makes the figure bigger. It is OK now.
>     I would like to find the border of some lakes (i.e., lat and lon). I am wondering if I can read the high-resolution coast database myself (which is used in Pyngl) in order to get such information ? If you could give some clue about how to read this database in python, I would appreciate !
> 
> Best wishes
> 
> Xiaoni
> 
> <ne_shp_file.png><query_and_plot_ne_shp_file.py><query_ne_shp_file.py>

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