dont you have an example on the geopython workshop from bucharest, I recall that Jachym had a good example on his tutorial
@tomkralidis hope I understand correctly, slicing out a rectangle from a raster based on geo-coords? With CLI I would use gdal_translate, possibly there is a way via Python API.
you need to convert the lat,lon coordinates into X.Y (have code somehwere for it) but the link above uses rasterio
and is simpler
(check the solution bellow)
Happy new year!
Thought I'd share some MovingPandas samples with you: http://exploration.movingpandas.org
Hi @all - not sure where to post, I've a question related to the use of pydap from inside a docker-compose environment and I thought this channel is followed by very knowledgiable people who my be able to help me.
My problem is:
My problem is:
- given a docker-compose environment with 3 containers running 3 services
apache,pydap,jupyter. A simple csv file is served via bothapacheand viapydap
From outside the docker environment, the file is available using the host IP address without problems (using bothapacheandpydap)
The problem arise when I try to access the csv data from inside thejupyterservice, which runs from inside the same docker network.
from the notebook I can access the data served via hyrax or via apache using the service name, but the same request fails when attemting to access the data served via pydap
@epifanio
I prepared the test , it is a basic repository with 4 docker machine:
- Apache2
- Pydap
- Hyrax
- Jupyter Notebook
It is available here: https://github.com/epifanio/Docker-Networking
@epifanio
essentially, I put some data in a volume and I made this data available in:
- apache http://localhost/SN99938.nc
- pydap http://localhost:9090/SN99938.nc.html
- hyrax http://localhost:8080/opendap/SN99938.nc.html
and everything works as expected
I then use a jupyter container (on the same docker network) to access the same data but using the docker-machine-name defined in the docker-compose
using the pydap client I can access the data served by hyrax, or I can use wget to fetch the data served via apache ... but when trying to attemt to fetch the data served by pydap I got an error ...
have you experienced something similar, do you have any clue on what is wrong?
From the GeoPython Conf organization:
Martin Christen, [26 jul. 2020 21:27:49]:
July 27 would have been the date for GeoPython 2020, it is really sad it didn't happen.
But I have interesting news
There will be a "mini" GeoPython 2020 online edition, September 21-22, 2020 (together with Python Machine Learning Conference). Call for proposals is open until August 17. http://2020.geopython.net/ - More information will follow!
So see http://2020.geopython.net/
or is there anyone from the organizers here?
@kalxas not sure what you mean: we have submitted a pygeoapi abstract yesterday (see pygeoapi gitter), the main contact for the conf is Martin Christen, Professor FHNW Basel. He is not in this group but easy to find e.g. linkedin. There is also an open Telegram group for the conf: see http://2020.geopython.net/ (Social Media bottom of page).
Hi everyone, I am new to geopy and python itself. I'm not sure if this is the right forum, and I would be grateful if any of you could point me to the right place for my queries. I know that geopy uses the great circle distance to calculate the distance between two coordinates but I read somewhere that this formula isn't very accurate for short distances. I have a set of stations which can get as close as 5 kilometers from each other, I wanted to know if using geopy.distance is a good idea or if there are more accurate tools for such short distances.
@DJMO3 never heard of geopy but it uses geographiclib . Make your question more specific: 1) are your coordinates lon/lat in WGS84? 2) what level accuracy you want to achieve (percent). Great-circle can be up to 0.5%. Better is to use geodesic distance, supported by
geopy. Many geo-folks use proj but looks like your case can be covered with geopy. Their main comm-channel is StackOverflow.